Title :
Model reference predictive LQC optimal control law for SIMO systems
Author_Institution :
Ind. Control Univ., Strathclyde Univ., Glasgow, UK
Abstract :
The design of LQG controllers for systems with a single input and many outputs is considered. Many simplifications can be achieved over the more general multivariable problem, which is important in self-tuning control applications, for example. The tracking problem considered is novel and allows a model-following capability to be introduced. A predictive control feature is also available which enables the future values of the set point to be taken into account as in preprogramming robot control
Keywords :
control system synthesis; model reference adaptive control systems; multivariable control systems; optimal control; predictive control; LQG controllers; MRACS; SIMO systems; control system synthesis; multivariable control systems; optimal control; predictive control; self-tuning control; tracking; Control systems; Electrical equipment industry; Hafnium; Industrial control; Motion control; Noise measurement; Optimal control; Polynomials; Predictive control; Predictive models;
Conference_Titel :
Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
Conference_Location :
Austin, TX
DOI :
10.1109/CDC.1988.194531