机译:基于输出反馈强化学习的异构离散多智能体系统最优输出同步
Univ Virginia Charles L Brown Dept Elect & Comp Engn Charlottesville VA 22904 USA;
synchronisation; distributed control; learning (artificial intelligence); feedback; multi-agent systems; adaptive control; Riccati equations; discrete time systems; control system synthesis; feedforward; observers; closed loop systems; optimal control; control system analysis computing; local feedback parameters; learning algorithm; gradient adaptive law; local feedforward control parameters; learning scheme; resulting distributed control laws; local internal state; local performance functions; optimal solution; output regulator equations; leader agent; output feedback reinforcement learning; optimal output synchronisation; discrete-time multiagent systems; model-free distributed output feedback control scheme; heterogeneous follower agents; directed network; freedom approach; optimal output feedback; feedforward terms; local control law; distributed two degree of freedom approach; state augmentation approaches; distributed leader state observer;
机译:基于强化神经网络学习的非线性离散系统的近最优输出反馈控制
机译:基于强化神经网络学习的非线性离散系统的近最优输出反馈控制
机译:基于强化神经网络学习的非线性离散系统的近最优输出反馈控制
机译:强化学习的离散多智能体系统协同和自适应最优输出调节
机译:非线性输出反馈系统的全局鲁棒输出调节及其应用。
机译:具有信道衰落扇区非线性以及随机出现的间隔延迟和非线性的离散时间系统的模糊...公式输出反馈控制
机译:多智能体系统中的结构化最优反馈:静态输出 反馈观点
机译:最优输出反馈的研究与鉴赏。第1卷:随机无限时间离散最优输出反馈问题的收敛算法