Near-Optimal Controls of Discrete-Time Dynamic Systems Driven by Singularly-Perturbed Markov Chains

2003 ◽  
Vol 116 (1) ◽  
pp. 131-166 ◽  
Author(s):  
G. Badowski ◽  
G. Yin ◽  
Q. Zhang
2001 ◽  
Vol 47 (7) ◽  
pp. 4763-4774 ◽  
Author(s):  
G. Yin ◽  
Q. Zhang ◽  
H. Yang ◽  
K. Yin

2003 ◽  
Vol 45 (1) ◽  
pp. 49-74 ◽  
Author(s):  
H. Yang ◽  
G. Yin ◽  
K. Yin ◽  
Q. Zhang

AbstractThis work is devoted to numerical studies of nearly optimal controls of systems driven by singularly perturbed Markov chains. Our approach is based on the ideas of hierarchical controls applicable to many large-scale systems. A discrete-time linear quadratic control problem is examined. Its corresponding limit system is derived. The associated asymptotic properties and near optimality are demonstrated by numerical examples. Numerical experiments for a continuous-time hybrid linear quadratic regulator with Gaussian disturbances and a discrete-time Markov decision process are also presented. The numerical results have not only supported our theoretical findings but also provided insights for further applications.


2020 ◽  
Vol 51 (2) ◽  
pp. 404-412
Author(s):  
Fangzhou Fu ◽  
Dayi Wang ◽  
Wenbo Li ◽  
Fanbiao Li

Automatica ◽  
2003 ◽  
Vol 39 (8) ◽  
pp. 1339-1351 ◽  
Author(s):  
G. Yin ◽  
Q. Zhang

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1241
Author(s):  
Alexey Zhirabok

The paper considers the problem of invariance with respect to the unknown input for discrete-time nonlinear dynamic systems. To solve the problem, the algebraic approaches, called algebra of functions and logic–dynamic approach, are used. Such approaches assume that description of the system may contain non-differentiable functions. Necessary and sufficient conditions of solvability the problem are obtained. Moreover, procedures which find the appropriate functions and matrices are developed. Some applications of such invariance in fault detection and isolation, disturbance decoupling problem, and fault-tolerant control are considered.


Sign in / Sign up

Export Citation Format

Share Document