A new approach to fuzzy modeling and control of discrete-time systems

2003 ◽  
Vol 11 (4) ◽  
pp. 486-494 ◽  
Author(s):  
M. Margaliot ◽  
G. Langholz
Keyword(s):  
Discrete Time ◽  
Fuzzy Modeling ◽  
New Approach ◽  
Modeling And Control ◽  
Discrete Time Systems ◽  
And Control ◽  
Time Systems

Modeling and Control of Nonlinear Discrete-time Systems Based on Compound Neural Networks

2009 ◽  
Vol 17 (3) ◽  
pp. 454-459 ◽  
Author(s):  
Yan ZHANG ◽  
Xiuxia LIANG ◽  
Peng YANG ◽  
Zengqiang CHEN ◽  
Zhuzhi YUAN
Keyword(s):  
Neural Networks ◽  
Discrete Time ◽  
Modeling And Control ◽  
Discrete Time Systems ◽  
And Control ◽  
Time Systems

AN OPTIMIZATION APPROACH TO THE DESIGN OF CONSTRAINED REGULATORS FOR UNCERTAIN DISCRETE-TIME SYSTEMS

2006 ◽  
Vol 15 (03) ◽  
pp. 373-387
Author(s):  
M. VASSILAKI ◽  
G. BITSORIS
Keyword(s):  
Discrete Time ◽  
Sufficient Conditions ◽  
Optimization Approach ◽  
Control Constraints ◽  
Existence Of A Solution ◽  
Discrete Time Systems ◽  
Necessary And Sufficient ◽  
And Control ◽  
Time Systems ◽  
State And Control Constraints

In this paper the regulation problem of linear discrete-time systems with uncertain parameters under state and control constraints is studied. In the first part of the paper, two theorems concerning necessary and sufficient conditions for the existence of a solution to this problem are presented. Due to the constructive form of the proof of these theorems, these results can be used to the development of techniques for the derivation of a control law transferring to the origin any state belonging to a given set of initial states while respecting the state and control constraints.

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