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 state-equation 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 state-dependent version of the Smith predictor.

Original language | English |
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Title of host publication | 46th IEEE Conference on Decision and Control, 2007 |

Publisher | IEEE |

Pages | 1628-1633 |

Number of pages | 5 |

ISBN (Print) | 978-1-4244-1497-0 |

DOIs | |

Publication status | Published - Dec 2007 |

### Keywords

- control system synthesis
- multivariable control systems
- nonlinear control systems

## Projects

- 2 Finished

## INDUSTRIAL NON-LINEAR 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

## Cite this

Grimble, M. J., & Pang, Y. (2007). NGMV control of state dependent multivariable systems. In

*46th IEEE Conference on Decision and Control, 2007*(pp. 1628-1633). IEEE. https://doi.org/10.1109/CDC.2007.4434359