Adaptive Control of Nonlinear and Stochastic Systems
Final rept. 15 Nov 1985-14 Nov 1990,
TEXAS UNIV AT AUSTIN DEPT OF ELECTRICAL AND COMPUTER ENGINEERING
Pagination or Media Count:
Significant progress was made in a number of aspects of nonlinear and stochastic systems. An important problem in the adaptive estimation of a finite state Markov chain was solved, and significant progress was made on the corresponding, but much more difficult adaptive control problem. Problems of adaptive control with unknown disturbance distributions were solved in the case of incomplete state observations. A study of the adaptive control of bilinear ARMAX models was completed. Discretization procedures for adaptive Markov control processes were designed and analyzed, and problems of adaptive control with unknown disturbance distributions were solved in the case of incomplete state observations. In the area of nonlinear systems, the effect of sampling of linearization for continuous time systems was investigated. The smooth feedback stabilization of nonlinear systems was studied, and a model reference adaptive control scheme for pure-feedback nonlinear systems was developed and studied, and some problems in the linearization of discrete-time nonlinear systems were solved. In addition, some important problems in the areas of discrete event systems, robotics, and discrete time systems were solved.
- Operations Research