Projects per year
Abstract
A nonlinear generalized minimum variance control law is derived for the control of nonlinear multivariable systems. The solution for the control law is obtained using a model for the process that includes three different types of subsystem to provide a variety of means of modeling the system. These may not all be present. The first subsystem involves a nonlinear operator of very general form. The second is a state dependent, state equation model of the plant and finally a linear stateequation model represents the output subsystem, disturbance and reference models. The process is assumed to include common delays in input or output channels of magnitude k. The quadratic like cost index involves state, error and control signal costing terms. The controller obtained is simple to implement, particularly in one form, which might be considered a nonlinear statedependent version of the Smith predictor.
Original language  English 

Title of host publication  46th IEEE Conference on Decision and Control, 2007 
Publisher  IEEE 
Pages  16281633 
Number of pages  5 
ISBN (Print)  9781424414970 
DOIs  
Publication status  Published  Dec 2007 
Keywords
 control system synthesis
 multivariable control systems
 nonlinear control systems
Projects
 2 Finished

INDUSTRIAL NONLINEAR CONTROL AND REALTIME APPLICATIONS
Grimble, M., Katebi, R. & Ordys, A.
EPSRC (Engineering and Physical Sciences Research Council)
1/05/05 → 30/04/10
Project: Research

Improved Inverse Simulation using Nonlinear Predictive Methods
Grimble, M. & Ordys, A.
EPSRC (Engineering and Physical Sciences Research Council)
1/09/04 → 31/03/08
Project: Research