Optimal Design of PDC Controllers for Time-Varying TS-Fuzzy-Model-Based Time-Delay Systems

By complementarity fusing the orthogonal-functions approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA), an integrative method is presented to design the quadratic-finite-horizon-optimal fuzzy parallel-distributed-compensation (PDC) controllers of a class of time-varying Takagi-Sugeno (TS)...

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Bibliographic Details
Main Authors: Ming-Ren Hsu, Wen-Hsien Ho, Jyh-Horng Chou
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Control systems
Delay effects
Fuzzy control
Fuzzy sets
Fuzzy systems
Nonlinear control systems
Optimal control
Takagi-Sugeno model
Time varying systems
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Description
Summary:By complementarity fusing the orthogonal-functions approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA), an integrative method is presented to design the quadratic-finite-horizon-optimal fuzzy parallel-distributed-compensation (PDC) controllers of a class of time-varying Takagi-Sugeno (TS) fuzzy-model-based time-delay control systems. The proposed integrative method fusing the OFA and the HTGA can be viewed as one of the hard-computing-assisted soft-computing category, where the OFA belongs to the hard computing constituents and the HTGA is one of the soft computing constituents. A design example of the quadratic-optimal PDC controllers for the pendulum time-delay system with the vibration in the vertical direction on the pivot point is given to demonstrate the applicability of the proposed new integrative approach.
ISSN:1098-7584
DOI:10.1109/FUZZY.2007.4295493