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Adaptive Event-Based Control for Discrete-Time Nonaffine Systems with Constrained Inputs

机译:基于自适应事件的控制,用于具有约束输入的离散时间非共源系统

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This paper investigates an event-based controller for the near-optimal control policy of nonaffine discrete-time systems with constrained inputs. This algorithm is based on the dual heuristic dynamic programming (DHP) approach. In order to overcome the challenge which is generated by systems with control constraints, a useful nonquadratic performance index is introduced. Besides, the event-based control technique is employed to reduce the computational burden. Meanwhile, a Lyapunov stability analysis is elaborated to prove that the proposed control algorithm can asymptotically stabilize this type of systems. Moreover, we give the stablility condition and the design procedure of the event-based controller. Additionally, we apply three neural networks to realize the present algorithm. Finally, a numerical simulation is conducted to verify the feasibility and performance of the proposed control algorithm.
机译:本文研究了基于事件的控制器,用于具有受约束输入的非共源离散时间系统的近最优控制策略。该算法基于双发性动态编程(DHP)方法。为了克服由控制限制产生的系统产生的挑战,介绍了有用的非分量性能指标。此外,采用基于事件的控制技术来减少计算负担。同时,详细阐述了Lyapunov稳定性分析以证明所提出的控制算法可以渐近稳定这种类型的系统。此外,我们提供了基于事件的控制器的稳定性条件和设计过程。另外,我们应用三个神经网络来实现本算法。最后,进行了数值模拟以验证所提出的控制算法的可行性和性能。

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