• United Kingdom

Accepting PhD Students

PhD projects

EY1: Biologically-Inspired Multi-Objective Design Optimisation for Space Mechatronic Systems

In future space missions, autonomous, intelligent and massively distributed mechatronic systems will play important roles. The space application domain presents unique challenges to the design of mechatronic systems. For example, due to the extremely limited and expensive resources available onboard, design optimisations are particularly needed for both power savings and performance improvement in satellite-based sensing and imaging. Thus, the development of efficient multi-objective design optimisation algorithms capable of optimising the space-based mechatronic systems is essential under the stringent requirements for power consumption, cost, mass, reliability, and performance improvement, etc.
The aim of this research is to develop novel and efficient bio-inspired optimisation approaches for multi-objective design-space exploration of space mechatronic systems. Its main research objectives are summarised as below:
1. Develop new bio-inspired algorithms for design exploration of space mechatronic systems under multiple design and environmental constraints.
2. Investigate algorithm performance, convergence, and design efficiency trade-off.
3. Investigate the computing requirement of bio-inspired algorithms for real-time response to application requirements under different environmental constraints.
4. Investigate the designs produced by the developed bio-inspired algorithms in terms of multiple objectives, such as cost, mass, reliability, and performance, etc.

EY 2: Brain-inspired Intelligent Control of Multiple Autonomous Systems for Space Applications.
In space application, multiple autonomous systems (MASs) can be more effective than a single autonomous system, for example, in information gathering and exploration tasks with multiple planetary robots. The potential for MASs cooperating together to accomplish challenging tasks has drawn together researchers from several fields, including robotics, control systems, and computer science. Biologically-inspired and intelligent control systems for MASs, including for Mars’ rovers and DARPA Challenges, have received a lot of research attention. For example, a fault-tolerant, Biologically Inspired System for Map-based Autonomous Rover Control has been developed in NASA’s Jet Propulsion Laboratory for long duration missions with multiple autonomous vehicles.
The general scientific objectives of this research are to address two fundamental research challenges related to the development of novel intelligent coordinated control of multi-agent systems, particularly in the context of MASs for space applications. The first research challenge is related to real-time information processing and utilisation, i.e., how to quickly and efficiently extract and analyse information acquired by the MASs. The second research challenge is concerned with designing adaptive autonomous controllers by exploiting the extracted and analysed information to cooperatively control the MASs, and also improve the MAS’s capabilities, such as surveillance, target acquisition and tracking, etc.
To realise these general scientific objectives, novel brain-inspired approaches are particularly appealing for extracting information, processing the extracted information into the design, online tuning, and adaptive switching of autonomous multi-agent controllers under complex and dynamic environments.

EY 3: Towards an Integrated Cognitive Control System for Autonomous Vehicles
The field of autonomous vehicle is a rapidly growing one which promises improved performance, fuel economy, emission levels, comfort and safety. The UK government is determined to address the challenges of tackling climate change, maintaining energy security, and solving transportation in a way that minimises costs and maximises benefits to the economy. Among all sources of CO2 emissions in the UK, the energy supply accounts for about 40%, followed by the transport for over 25%, and emissions from cars and vans account for 70% in domestic transport sector. Intelligent and efficient control is one of key issues in developing fully autonomous vehicles.
Given the similarity between the problem' domains of autonomous vehicle’s control and action selection in animals, this research aims to leverage new results from psychology and neurobiology and apply them to the control of autonomous vehicles. Towards this end, an integrated cognitive control system for autonomous vehicles is targeted in this research. We aim to harness general strategies for control based on high level analysis of human behavioural control.
The primary objective of this research is to uplift research collaborations from the current separate, point-to-point collaborations to a broader and deeper context with a more systematic, more coherent, and more coordinated synergised approach for developing an integrated cognitive control system for autonomous vehicles towards more reliable, more flexible and efficient, and more environmental friendly control solutions.

EY 4:Novel Intelligent and Optimal Decision-Making Paradigm for Autonomous Manufacturing
Today’s manufacturing has become more competitive as manufacturers need innovative and extremely agile processes along with increasing manufacturing automation and informatics complexity. The main aim of this research is to develop novel intelligent and optimal decision-making paradigm for autonomous manufacturing in an Industry 4 environment.
The focus of this research will be on the development of innovative smart decision-making strategies to coordinate multiple agents and make collaborative and optimal decision and take group actions by concurrently dealing with multiple objectives under extreme environmental constrains arising from both internal (such as manufacturing process disturbances, e.g., one industrial robot breaks down) and external (e.g., partial and inconsistent information). In the smart factory, all the manufacturing resources are modelled as intelligent agents/entities. Each agent has the ability to percept, reason, make decision, and take actions without (or with limited) human interferences.
The key research challenge lies in the intelligent and optimal decision-making mechanism for the agents in the smart manufacturing system to independently make decisions and plan their own tasks based on their own reasons about their environment, state/situation and the likely actions taken by other agents.

EY 5: Advanced Artificial Intelligence in Automatic Human-Machine Knowledge Transfer
This research is concerned with the way that how to automatically transfer human expert/operator’s knowledge obtained in existing processes and experiences into intelligent agents (e.g., industrial robots) to advance the capabilities of intelligent agents in an autonomous manufacturing system. Toward this end, an advanced intelligent system consisting of intelligent knowledge-based expert system and artificial neural network (ANN) models will be explored in this research. The use of ANN models will make the system intelligent by learning patterns from existing manufacturing data and process knowledge and use them for predicting the behaviour of manufacturing, which would result in reducing the lead time and cost considerably.

19972021

Research output per year

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Research Output

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Conference contribution book
2020

Passivity and synchronization of coupled complex-valued memristive neural networks

Huang, Y., Hou, J., Ren, S. & Yang, E., 20 Feb 2020, 2019 IEEE Symposium Series on Computational Intelligence. Piscataway, NJ: IEEE, p. 2152-2159 8 p. 9002792

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File

Pixel-wise segmentation of SAR imagery using encoder-decoder network and fully-connected CRF

Gao, F., He, Y., Wang, J., Ma, F., Yang, E. & Hussain, A., 1 Feb 2020, Advances in Brain Inspired Cognitive Systems: 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings. Ren, J., Hussain, A., Zhao, H., Huang, K., Zheng, J., Cai, J., Chen, R. & Xiao, Y. (eds.). Cham, Switzerland: Springer, p. 155-165 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11691 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2019

An optimal approach to anytime task and path planning for autonomous mobile robots in dynamic environments

Wong, C., Yang, E., Yan, X-T. & Gu, D., 8 Aug 2019, Towards Autonomous Robotic Systems - 20th Annual Conference, TAROS 2019, Proceedings: 20th Annual Conference, TAROS 2019, London, UK, July 3–5, 2019, Proceedings, Part II. Althoefer, K., Konstantinova, J. & Zhang, K. (eds.). Cham, p. 155-166 12 p. (Lecture Notes in Computer Science; vol. 11650).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
1 Downloads (Pure)

A novel HRRP target recognition method based on LSTM and HMM decision-making

Tu, J., Huang, T., Liu, X., Gao, F. & Yang, E., 11 Nov 2019, 2019 25th IEEE International Conference on Automation and Computing. Piscataway, NJ: IEEE, 6 p. 8895040

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
1 Citation (Scopus)

Collaborative mobile industrial manipulator: a review of system architecture and applications

Yang, M., Yang, E., Zante, R. C., Post, M. & Liu, X., 11 Nov 2019, 2019 25th IEEE International Conference on Automation and Computing. Piscataway, NJ: IEEE, 6 p. 8895183

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
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Combining deep neural network with traditional classifier to recognize facial expressions

Fei, Z., Yang, E., Li, D., Butler, S., Ijomah, W. & Zhou, H., 11 Nov 2019, 2019 25th IEEE International Conference on Automation and Computing. Piscataway, NJ: IEEE, 6 p. 8895084

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
3 Downloads (Pure)

Double-loop sliding mode control of reentry hypersonic vehicle with RCS

Song, J., Hao, C., Zhang, Y., Yu, N., Liu, Y. & Yang, E., 14 Nov 2019, 2019 IEEE 15th International Conference on Control and Automation, ICCA 2019. Piscataway, N.J.: IEEE, p. 109-114 6 p. (IEEE International Conference on Control and Automation, ICCA; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
2 Downloads (Pure)

Inspection robots in oil and gas industry: a review of current solutions and future trends

Yu, L., Yang, E., Ren, P., Luo, C., Dobie, G., Gu, D. & Yan, X., 11 Nov 2019, 2019 25th International Conference on Automation and Computing (ICAC). Piscataway, NJ.: IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
1 Citation (Scopus)
15 Downloads (Pure)

Robust passivity of coupled Cohen-Grossberg neural networks with reaction-diffusion terms

Huang, Y., Wang, J. & Yang, E., 11 Nov 2019, 2019 25th International Conference on Automation and Computing (ICAC). Piscataway, N.J., 8895142

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
2 Downloads (Pure)

Semantic path planning for indoor navigation and household tasks

Sun, N., Yang, E., Corney, J. & Chen, Y., 17 Jul 2019, Towards Autonomous Robotic Systems: 20th Annual Conference, TAROS 2019, London, UK, July 3–5, 2019, Proceedings, Part II. Althoefer, K., Konstantinova, J. & Zhang, K. (eds.). Cham, Switzerland: Springer-Verlag, p. 191-201 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11650 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
2018

Combining deep convolutional neural network and SVM to SAR image target recognition

Gao, F., Huang, T., Wang, J., Sun, J., Yang, E. & Hussain, A., 30 Jan 2018, 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017. Piscataway, NJ.: IEEE, Vol. 2018-January. p. 1082-1085 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
8 Citations (Scopus)
132 Downloads (Pure)
2017

An optimal nonlinear guidance logic for the trajectory tracking of supercavitating vehicles

Song, J., Gao, K. & Yang, E., 24 Aug 2017, 2017 IEEE International Conference on Mechatronics and Automation (ICMA 2017). Piscataway, NJ: IEEE, 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
56 Downloads (Pure)

An overview of robotics and autonomous systems for harsh environments

Wong, C., Yang, E., Yan, X. & Gu, D., 26 Oct 2017, ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing. Piscataway, N.J.: IEEE, 8 p. 8082020

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
8 Citations (Scopus)
63 Downloads (Pure)

A survey of the state-of-the-art techniques for cognitive impairment detection in the elderly

Fei, Z., Yang, E., Li, D., Butler, S., Ijomah, W. & Mackin, N., 25 Aug 2017, Advanced Computational Methods in Life System Modeling and Simulation - International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, Proceedings. Berlin: Springer-Verlag, Vol. 761. p. 143-161 19 p. (Communications in Computer and Information Science; vol. 761).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
1 Citation (Scopus)
41 Downloads (Pure)

Level sets with one dot fuzzy initialization for marine oil spill segmentation

Xu, M., Yu, Y., Chen, F., Jiang, X., Ren, P. & Yang, E., 26 Oct 2017, OCEANS 2017 - Aberdeen. Piscataway, N.J.: IEEE, 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
4 Citations (Scopus)
9 Downloads (Pure)

Review of machine vision-based electronic travel aids

Fei, Z., Yang, E., Hu, H. & Zhou, H., 26 Oct 2017, ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing. Piscataway, N.J.: IEEE, 8 p. 8082021

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
4 Citations (Scopus)
55 Downloads (Pure)
2016

Visual attention model with a novel learning strategy and its application to target detection from SAR images

Gao, F., Xue, X., Wang, J., Sun, J., Hussain, A. & Yang, E., 13 Nov 2016, Advances in Brain Inspired Cognitive Systems: 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings. Liu, C-L., Hussain, A., Luo, B., Tan, K. C., Zeng, Y. & Zhang, Z. (eds.). Cham, Switzerland: Springer-Verlag, p. 149-160 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10023).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
75 Downloads (Pure)
2015

Computational investigation of superalloy persistent slip bands formation

Huang, J., Wang, Z., Luo, Y., Li, Y., Yang, E. & Chen, Y., 30 Oct 2015, 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015. 6 p. 7313999

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)
2013

A basal ganglia inspired soft switching approach to the motion control of a car-like autonomous vehicle

Yang, E., Hussain, A. & Gurney, K., 28 May 2013, Advances in Brain Inspired Cognitive Systems: 6th International Conference, BICS 2013, Beijing, China, June 9-11, 2013. Proceedings. Liu, D., Alippi, C., Zhao, D. & Hussain, A. (eds.). Berlin, p. 245-254 10 p. (Lecture Notes in Computer Science; vol. 7888).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)

Model-based condition monitoring of AGR nuclear graphite cores

Yang, E., Grimble, M. J., West, G. M., Inzerillo, S., Katebi, R. & McArthur, S., 4 Apr 2013, UKACC International Conference on CONTROL 2010. New York, p. 1206-1211 6 p. 0452

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Urban construction area extraction using circular polarimetric correlation coefficient

Lin, X., Wang, W. & Yang, E., 2013, 2013 IEEE International Conference on Imaging Systems and Techniques (IST). Piscataway, NJ.: IEEE, p. 359-362 4 p. 6729721

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2012

An intelligent multiple-controller framework for the integrated control of autonomous vehicles

Hussain, A., Abdullah, R., Yang, E. & Gurney, K., 27 Aug 2012, Advances in Brain Inspired Cognitive Systems: 5th International Conference, BICS 2012, Shenyang, China, July 11-14, 2012. Proceedings. Zhang, H., Hussain, A., Liu, D. & Wang, Z. (eds.). Berlin, p. 92-101 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7366).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

6 Citations (Scopus)

Neurobiologically-inspired soft switching control of autonomous vehicles

Yang, E., Hussain, A. & Gurney, K., 28 Jun 2012, Advances in Brain Inspired Cognitive Systems: 5th International Conference, BICS 2012, Shenyang, China, July 11-14, 2012. Proceedings. Zhang, H., Hussain, A., Liu, D. & Wang, Z. (eds.). Berlin, p. 82-91 10 p. (Lecture Notes in Computer Science; vol. 7366).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Citations (Scopus)
2011

Nonlinear model-based condition monitoring of advanced gas-cooled nuclear reactor cores

Yang, E., Grimble, M., Inzerillo, S. & Katebi, M., 30 Sep 2011, Proceedings of the Institute of Measurement and Control.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

File
156 Downloads (Pure)
2009

Energy efficiency enhancement in satellite based WSN through collaboration and self-organized mobility

Li, W., Arslan, T., Han, J., Erdogan, A. T., El-Rayis, A. O., Haridas, N. & Yang, E., 14 Jul 2009, 2009 IEEE Aerospace Conference . Piscataway, NJ.: IEEE, p. 1-8 8 p. 4839359

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)
2008

Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network

Yang, E., Erdogan, A. T., Arslan, T. & Barton, N. H., 8 Nov 2008, Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008. Keymeulen, D., Arslan, T., Suess, M., Stoica, A., Erdogan, A. T. & Merodio, D. (eds.). Los Alamitos, CA., p. 432-439 8 p. 4584304

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Citations (Scopus)

An improved particle swarm optimization algorithm for power-efficient wireless sensor networks

Yang, E., Erdogan, A. T., Arslan, T. & Barton, N., 29 Jan 2008, ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, 2007. BLISS 2007. Stoica, A., Arslan, T., Howard, D., Kim, T-H. & El-Rayis, A. (eds.). Los Alamitos, CA., p. 76-79 4 p. 4290943

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

15 Citations (Scopus)

A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks

Yang, E., Barton, N. H., Arslan, T. & Erdogan, A. T., 14 Nov 2008, CEC 2008 (IEEE World Congress on Computational Intelligence): IEEE Congress on Evolutionary Computation. IEEE, p. 2749-2756 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

11 Citations (Scopus)

Distributed adaptability and mobility in space based wireless pico-satellite sensor networks

Wei, L., Arslan, T., El-Rayis, A. O., Haridas, N., Erdogan, A. T. & Yang, E., 8 Nov 2008, Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems. Keymeulen, D. (ed.). Piscataway, NJ.: IEEE, p. 277-282 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

Scalability of a novel shifting balance theory-based optimization algorithm: a comparative study on a cluster-based wireless sensor network

Yang, E., Barton, N. H., Arslan, T. & Erdogan, A. T., 8 Sep 2008, Evolvable Systems: From Biology to Hardware: 8th International Conference, ICES 2008, Prague, Czech Republic, September 21-24, 2008. Proceedings. Berlin, p. 249-260 12 p. (Lecture Notes in Computer Science; vol. 5216).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)
2007

An integrated fuzzy and learning approach to performance improvement of model-based multi-agent robotic control systems

Yang, E. & Gu, D., 2007, International Conference on Mechatronics and Automation, 2007. ICMA 2007. Piscataway, NJ.: IEEE, p. 1417-1422 6 p. 4303757

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Multi-objective evolutionary optimizations of a space-based reconfigurable sensor network under hard constraints

Yang, E., Erdogan, A. T., Arslan, T. & Barton, N., 1 Dec 2007, ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, 2007. BLISS 2007.. IEEE, p. 72-75 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

12 Citations (Scopus)

Multiobjective optimal design of MEMS-based reconfigurable and evolvable sensor networks for space applications

Yang, E., Haridas, N., El-Rayis, A., Erdogan, A. T., Arslan, T. & Barton, N., 2007, Proceedings - 2007 NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007. Arslan, T., Stoica, A., Suess, M., Keymeulen, D., Higuchi, T., Zebulum, R. & Erdogan, A. T. (eds.). Los Alamitos, CA., p. 27-34 8 p. 4291897

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

9 Citations (Scopus)

System-level modeling and multi-objective evolutionary design of pipelined FFT processors for wireless OFDM receivers

Yang, E., Erdogan, A. T., Arslan, T. & Barton, N., 28 Aug 2007, Evolvable Systems: From Biology to Hardware: 7th International Conference, ICES 2007, Wuhan, China, September 21-23, 2007. Proceedings. Kang, L., Liu, Y. & Zeng, S. (eds.). Berlin, p. 210-221 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4684).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)
2006

A multiagent fuzzy policy reinforcement learning algorithm with application to leader-follower robotic systems

Yang, E. & Gu, D., 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway, NJ.: IEEE, p. 3197-3202 6 p. 4058888

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

7 Citations (Scopus)
2005

A suboptimal model predictive formation control

Gu, D. & Yang, E., May 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway, NJ.: IEEE, p. 1295-1300 6 p. 1545536

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

9 Citations (Scopus)

A survey on multiagent reinforcement learning towards multi-robot systems

Yang, E. & Gu, D., 1 Dec 2005, IEEE 2005 Symposium on Computational Intelligence and Games, CIG'05. IEEE, p. 292-299 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

10 Citations (Scopus)

Fuzzy policy gradient reinforcement learning for leader-follower systems

Gu, D. & Yang, E., 1 Jul 2005, 2005 IEEE International Conference on Mechatronics & Automations : Conference Proceedings. Gu, J. & Liu, P. X. (eds.). Piscataway, NJ.: IEEE, Vol. 3. p. 1557-1561 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)

Improving the formation-keeping performance of multiple autonomous underwater robotic vehicles

Yang, E., Gu, D. & Hu, H., 1 Jul 2005, 2005 IEEE International Conference on Mechatronics and Automation: July 20 to August 1, 2005, Niagara Falls, Ontario, Canada : conference proceedings. Gu, J. & Liu, P. X. (eds.). Piscataway, NJ.: IEEE, Vol. 4. p. 1890-1895 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)

Nonsingular formation control of cooperative mobile robots via feedback linearization

Yang, E., Gu, D. & Hu, H., Apr 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway, NJ.: IEEE, p. 826-831 6 p. 1545537

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

6 Citations (Scopus)
2004

A decomposition approach to the inverse problem-based fault diagnosis of liquid rocket propulsion systems

Yang, E., Xiang, H. & Zhang, Z., Aug 2004, Proceedings of the SICE Annual Conference. IEEE, Vol. 2. p. 1607 - 1612 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

A policy gradient reinforcement learning algorithm with fuzzy function approximation

Gu, D. & Yang, E., 2004, IEEE International Conference on Robotics and Biomimetics, 2004. ROBIO 2004. Piscataway, NJ.: IEEE, p. 936-940 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)

Nonlinear tracking control of a car-like mobile robot via dynamic feedback linearization

Yang, E., Gu, D., Mita, T. & Hu, H., Sep 2004, Proceedings of the Control 2004 Conference. Sahinkaya, M. N. & Edge, K. A. (eds.). 6 p. ID-218

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2003

Nonlinear tracking control of a nonholonomic fish robot in chained form

Yang, E., Ikeda, T. & Mita, T., Aug 2003, Proceedings of the SICE 2003 Annual Conference . IEEE, Vol. 2. p. 1260 - 1265 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book