RECEDING HORIZON FUZZY OPTIMIZATION UNDER LOCAL INFORMATION ENVIRONMENT WITH A CASE STUDY
Shao-Yuan Li (),
Hu Wu and
Yi-Peng Yang
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Shao-Yuan Li: Institute of Automation, Shanghai Jiao Tong University, 1954 Hua Shan Road, Shanghai 200030, P.R. China
Hu Wu: Institute of Automation, Shanghai Jiao Tong University, 1954 Hua Shan Road, Shanghai 200030, P.R. China
Yi-Peng Yang: Institute of Automation, Shanghai Jiao Tong University, 1954 Hua Shan Road, Shanghai 200030, P.R. China
International Journal of Information Technology & Decision Making (IJITDM), 2004, vol. 03, issue 01, 109-127
Abstract:
Model predictive control (MPC) has been used in process control systems with constraints; however, theconstrained optimizationproblem involved in control systems has generally been solved in practice in a piece-meal fashion. To solve the problem systemically, in this paper, theMulti-Objective Fuzzy-Optimization(MOFO) is used in the constrained predictive control for online applications as a means of dealing with fuzzy goals and fuzzy constraints in control systems. The conventional model predictive control is integrated with the techniques from fuzzy multi-criteria decision making, translating the goals and the constraints to predictive control in a transparent way. The information regarding the fuzzy goals and the fuzzy constraints of the control problem is combined by using a decision function from the fuzzy theory, so it is possible to aggregate the fuzzy goals and the fuzzy constraints using fuzzy operators, e.g.t-norms,s-norms or the convex sum. It is shown that the model predictive controller based on MOFO allows the designers for a more flexible aggregation of the control objectives than the usual weighting sum of squared errors in MPC. The visual robot path planning validates the efficiency of the presented algorithm.
Keywords: Fuzzy goals; fuzzy constraints; fuzzy constraint satisfaction; optimization (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:03:y:2004:i:01:n:s0219622004000064
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DOI: 10.1142/S0219622004000064
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