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Receding Horizon Fuzzy Optimization Under Local Information Environment With A Case Study

Author

Listed:
  • 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)

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.

Suggested Citation

  • Shao-Yuan Li & Hu Wu & Yi-Peng Yang, 2004. "Receding Horizon Fuzzy Optimization Under Local Information Environment With A Case Study," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 3(01), pages 109-127.
    • Handle: RePEc:wsi:ijitdm:v:03:y:2004:i:01:n:s0219622004000064
    DOI: 10.1142/S0219622004000064
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