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نمایش تعداد 1-10 از 12

Output synchronization of heterogeneous discrete-time systems: A model-free optimal approach

نوع: Journal Paper

نویسنده : Bahare Kiumarsi; Frank L. Lewis

سال: 2017

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Actor–Critic-Based Optimal Tracking for Partially Unknown Nonlinear Discrete-Time Systems

نوع: Journal Paper

نویسنده : Bahare Kiumarsi; Frank L. Lewis

سال: 2014

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H∞ Control of Nonaffine Aerial Systems Using Off-policy Reinforcement Learning

نوع: Journal Paper

نویسنده : Bahare Kiumarsi; Wei Kang; Frank L. Lewis

سال: 2016

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Game Theory-Based Control System Algorithms with Real-Time Reinforcement Learning: How to Solve Multiplayer Games Online

نوع: Journal Paper

نویسنده : Kyriakos G. Vamvoudakis; Hamidreza Modares; Bahare Kiumarsi; Frank L. Lewis

سال: 2017

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Actor-Critic Off-Policy Learning for Optimal Control of Multiple-Model Discrete-Time Systems

نوع: Journal Paper

نویسنده : Jan Skach; Bahare Kiumarsi; Frank L. Lewis; Ondrej Straka

سال: 2016

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نوع: Journal Paper

نویسنده : Bahare Kiumarsi; Frank L. Lewis; Zhong-Ping Jiang

سال: 2017

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Optimal control of nonlinear discrete time-varying Systems using a new neural network approximation structure

نوع: Journal Paper

نویسنده : Bahare Kiumarsi; Frank L. Lewis; Daniel S. Levine

سال: 2015

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Optimal tracking control for linear discrete-time systems using reinforcement learning

نوع: Journal Paper

نویسنده : Bahare Kiumarsi-Khomartash; Frank L. Lewis; Mohammad-Bagher Naghibi-Sistani; Ali Karimpour

سال: 2013

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Reinforcement -learning for optimal tracking control of linear discrete-time systems with unknown dynamics

نوع: Journal Paper

نویسنده : Bahare Kiumarsi; Frank L. Lewis; Hamidreza Modares; Ali Karimpour; Mohammad-Bagher Naghibi-Sistani

سال: 2014

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Reinforcement -learning for optimal tracking control of linear discrete-time systems with unknown dynamics

نوع: Journal Paper

نویسنده : Bahare Kiumarsi; Frank L. Lewis; Hamidreza Modares; Ali Karimpour; Mohammad-Bagher Naghibi-Sistani

سال: 2014

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Output synchronization of heterogeneous discrete-time systems: A model-free optimal approach

Actor–Critic-Based Optimal Tracking for Partially Unknown Nonlinear Discrete-Time Systems

H∞ Control of Nonaffine Aerial Systems Using Off-policy Reinforcement Learning

Game Theory-Based Control System Algorithms with Real-Time Reinforcement Learning: How to Solve Multiplayer Games Online

Actor-Critic Off-Policy Learning for Optimal Control of Multiple-Model Discrete-Time Systems

Optimal control of nonlinear discrete time-varying Systems using a new neural network approximation structure

Optimal tracking control for linear discrete-time systems using reinforcement learning

Reinforcement -learning for optimal tracking control of linear discrete-time systems with unknown dynamics

Reinforcement -learning for optimal tracking control of linear discrete-time systems with unknown dynamics

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Output synchronization of heterogeneous discrete-time systems: A model-free optimal approach

Actor–Critic-Based Optimal Tracking for Partially Unknown Nonlinear Discrete-Time Systems

H∞ Control of Nonaffine Aerial Systems Using Off-policy Reinforcement Learning

Game Theory-Based Control System Algorithms with Real-Time Reinforcement Learning: How to Solve Multiplayer Games Online

Actor-Critic Off-Policy Learning for Optimal Control of Multiple-Model Discrete-Time Systems

Optimal control of nonlinear discrete time-varying Systems using a new neural network approximation structure

Optimal tracking control for linear discrete-time systems using reinforcement learning

Reinforcement -learning for optimal tracking control of linear discrete-time systems with unknown dynamics

Reinforcement -learning for optimal tracking control of linear discrete-time systems with unknown dynamics