In this chapter, the event-triggered constrained near-optimal controlNear-optimal control problem for a class of discrete-time affine nonlinear systems is solved through heuristic dynamic programmingHeuristic dynamic programming (HDP). The proposed method can signally reduce the computational amount without deteriorating system stability. A non-quadratic performance index is introduced to overcome control constraintsControl constraints. Then, stability analysis of the event-triggered system with control constraintsControl constraints is investigated and a practical event-triggered controlEvent-triggered control design algorithm is given. Three neural networksNeural networks are built in the HDP scheme, which are designed to approximate the unknown dynamics, the value functionValue function, and the control law, respectively. Remarkably, an effective strategy is developed to initialize the weight matrices of the model networkModel network. Two examples are finally included to demonstrate the effectiveness of the present approach.


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    Titel :

    Event-Triggered Adaptive Optimal RegulationOptimal regulation  of Constrained Affine Systems


    Weitere Titelangaben:

    Intelligent Control & Learning Systems


    Beteiligte:
    Wang, Ding (Autor:in) / Ha, Mingming (Autor:in) / Zhao, Mingming (Autor:in)


    Erscheinungsdatum :

    2023-01-22


    Format / Umfang :

    24 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch







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