scholarly journals Direct Adaptive Controllers for a Multi Input Multi Output Process

2020 ◽  
Vol 9 (1) ◽  
pp. 1070-1074
Keyword(s):  
Performance Evaluation ◽  
Steady State ◽  
Dynamic Systems ◽  
Real World ◽  
Practical Importance ◽  
Nonlinear Dynamic Systems ◽  
World Systems ◽  
Output Process ◽  
Adaptive Controllers ◽  
Linear Controllers

Control of nonlinear dynamic systems is of great practical importance, since virtually all real world systems belong to this class. The prevalent approach is to use a model of the process linearized about the steady state operating point to design linear controllers. The Multi Input Multi Output (MIMO) process considered in this paper has varying system dynamics. This paper focuses on the performance evaluation of multi-loop Adaptive MIT(AMIT) controller and Adaptive PI(API) controller with vanishing adaptation technique for a laboratory interacting coupled tank MIMO process.

scholarly journals Entropy in Dynamic Systems

Entropy ◽  
2019 ◽  
Vol 21 (9) ◽  
pp. 896
Author(s):  
Jan Awrejcewicz ◽  
José A. Tenreiro Machado
Keyword(s):  
Stochastic Processes ◽  
Dynamic Systems ◽  
Real World ◽  
Complex Behavior ◽  
World Systems ◽  
And Control ◽  
Monitor And Control

In order to measure and quantify the complex behavior of real-world systems, either novel mathematical approaches or modifications of classical ones are required to precisely predict, monitor and control complicated chaotic and stochastic processes [...]

scholarly journals An Alternating Frequency/Time Domain Method for Calculating the Steady-State Response of Nonlinear Dynamic Systems

1989 ◽  
Vol 56 (1) ◽  
pp. 149-154 ◽  
Author(s):  
T. M. Cameron ◽  
J. H. Griffin
Keyword(s):  
Steady State ◽  
Frequency Domain ◽  
Dynamic Systems ◽  
Time Domain ◽  
Nonlinear Dynamic ◽  
Nonlinear Dynamic Systems ◽  
System Response ◽  
Steady State Response ◽  
State Response ◽  
The Time Domain

A method is proposed for analyzing the steady-state response of nonlinear dynamic systems. The method iterates to obtain the discrete Fourier transform of the system response, returning to the time domain at each iteration to take advantage of the ease in evaluating nonlinearities there—rather than analytically describing the nonlinear terms in the frequency domain. The updated estimates of the nonlinear terms are transformed back into the frequency domain in order to continue iterating on the frequency spectrum of the steady-state response. The method is demonstrated by solving a problem with friction damping in which the excitation has multiple discrete frequencies.

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