Title :
Model reference predictive LQG optimal control law for SIMO systems
Author_Institution :
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
fDate :
3/1/1992 12:00:00 AM
Abstract :
The design of linear quadratic Gaussian (LQG) controllers for single-input multiple-output (SIMO) systems is considered. This includes the class of multiloop control problems which are often solved using a classical nested loop structure. Many simplifications can be achieved over the more general multivariate problem, which is important in self-tuning control applications, for example. The tracking problem 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 preprogrammed robot control
Keywords :
control system synthesis; model reference adaptive control systems; optimal control; predictive control; control system synthesis; linear quadratic Gaussian; model reference predictive LQG optimal control; model-following; multiloop control; preprogrammed robot control; self-tuning control; set point; single-input multiple-output systems; tracking; Control system synthesis; Control systems; Equations; Industrial control; Interpolation; Lagrangian functions; Optimal control; Polynomials; Predictive models; Temperature control;
Journal_Title :
Automatic Control, IEEE Transactions on