Design Principles of Single-Input Single-Output Nonlinear Control Systems

2001 ◽  
pp. 59-120
Author(s):  
Qiang Lu ◽  
Yuanzhang Sun ◽  
Shengwei Mei
Keyword(s):  
Nonlinear Control ◽  
Control Systems ◽  
Design Principles ◽  
Nonlinear Control Systems ◽  
Single Input Single Output ◽  
Single Output ◽  
Single Input

STABILITY OF SISO NONLINEAR SYSTEMS WITH PARAMETERS DISTURBANCES

2012 ◽  
Vol 26 (25) ◽  
pp. 1246008
Author(s):  
OLGA SHPILEVAYA
Keyword(s):  
Nonlinear Systems ◽  
System Dynamics ◽  
Control Systems ◽  
Lyapunov Method ◽  
Switched System ◽  
System Stability ◽  
Single Input Single Output ◽  
Single Output ◽  
System Output ◽  
Single Input

We study single-input single-output (SISO) control systems with the rapid piecewise-smooth parameters disturbances. The system dynamics are described by switched system models. The system output is regulated with the help of the nonlinear astatic controller with parameters which depend on some disturbance properties. The system stability is studied by second Lyapunov method.

scholarly journals MIMO Passive Control Systems Are Not Necessarily Robust

2015 ◽  
Vol 2015 ◽  
pp. 1-6
Author(s):  
Jesús U. Liceaga-Castro ◽  
Irma I. Siller-Alcalá ◽  
Eduardo Liceaga-Castro ◽  
Luis A. Amézquita-Brooks
Keyword(s):  
Control System ◽  
Structure Function ◽  
Control Systems ◽  
Passive Control ◽  
Linear Control System ◽  
Linear Control ◽  
Single Input Single Output ◽  
Single Output ◽  
Single Input

Via several cases of study it is shown that a passive multivariable linear control system, contrary to its single input single output counterpart, may not be robust. Moreover, it is shown that lack of robustness can be exposed via the multivariable structure function.

Tuning and design of single-input, single-output control systems for parametric uncertainty

AIChE Journal ◽  
2000 ◽  
Vol 46 (8) ◽  
pp. 1616-1631 ◽  
Author(s):  
Karel Stryczek ◽  
Mario Laiseca ◽  
Coleman Brosilow ◽  
Marshall Leitman
Keyword(s):  
Control Systems ◽  
Parametric Uncertainty ◽  
Output Control ◽  
Single Input Single Output ◽  
Single Output ◽  
Single Input

Genetic algorithms in model structure and controller structure identification

1997 ◽  
Vol 211 (5) ◽  
pp. 333-343 ◽  
Author(s):  
I G French ◽  
C S Cox ◽  
C K S HO
Keyword(s):  
Control Systems ◽  
Discrete Time ◽  
Structure Identification ◽  
Time Transfer ◽  
Output Control ◽  
Single Input Single Output ◽  
Single Output ◽  
Advanced Control ◽  
Single Input ◽  
Selection Of

Conventional multiloop SISO (single-input, single-output) control systems are still used in industry even though stating interaction between loops often significantly limits their effectiveness. Modern industry requires advanced control solutions based around multivariable system formulations. Two related but specific problems arise in the design of discrete-time MIMO (multi-input, multi-output) control systems. The first is the efficient identification of the structure, order and parameters of the MIMO discrete-time transfer function process description. The second is the difficulty in quickly establishing the selection of an appropriate set of manipulated variables to control a set of specified outputs, often called the ‘pairing problem’. This paper suggests a framework to help solve both problems by the development of automated search procedures based on a genetic algorithm.

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