Title : 
Stochastic control of discrete systems: a separation principle for Wiener and polynomial systems
         
        
        
            Author_Institution : 
Ind. Control Unit, Strathclyde Univ., Glasgow, UK
         
        
        
        
        
        
            Abstract : 
A separation principle is established for systems represented in discrete frequency-domain Wiener or polynomial forms. The LQG or H2  optimal controller can be realized using an observer based structure estimating noise free output variables that are fedback through a dynamic gain control block. The frequency-domain solution can be related to standard state-space Kalman filtering results, but it has a rather different structure. There are also two separation principle theorems depending upon the order in which the ideal output optimal control and the optimal observer problems are solved
         
        
            Keywords : 
discrete systems; filtering theory; linear quadratic Gaussian control; observers; state-space methods; stochastic systems; H2 optimal controller; discrete frequency-domain Wiener systems; dynamic gain control block; frequency-domain solution; noise free output variables; observer based structure; polynomial systems; separation principle; standard state-space Kalman filtering; stochastic control; Colored noise; Control systems; Covariance matrix; Equations; Frequency domain analysis; Noise measurement; Optimal control; Output feedback; Polynomials; Stochastic systems;
         
        
        
        
            Conference_Titel : 
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
         
        
            Conference_Location : 
Tampa, FL
         
        
        
            Print_ISBN : 
0-7803-4394-8
         
        
        
            DOI : 
10.1109/CDC.1998.760784