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   Articles with "policy iteration" as a keyword



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Rates of convergence for the policy iteration method for Mean Field Games systems

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recommendations! Published in 2022 at "Journal of Mathematical Analysis and Applications"

DOI: 10.1016/j.jmaa.2022.126138

Abstract: Convergence of the policy iteration method for discrete and continuous optimal control problems holds under general assumptions. Moreover, in some circumstances, it is also possible to show a quadratic rate of convergence for the algorithm.… read more here.

Keywords: convergence policy; policy iteration; iteration method; convergence ... See more keywords
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A Safety-Certified Policy Iteration Algorithm for Control of Constrained Nonlinear Systems

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recommendations! Published in 2020 at "IEEE Control Systems Letters"

DOI: 10.1109/lcsys.2020.2990632

Abstract: This letter designs safe controllers with guaranteed performance for continuous-time systems under state constraints. While existing safe control frameworks mainly ignore the performance of the controller and existing optimal control frameworks ignore the safety of… read more here.

Keywords: control; policy iteration; iteration algorithm; policy ... See more keywords
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Discrete-Time Nonzero-Sum Games for Multiplayer Using Policy-Iteration-Based Adaptive Dynamic Programming Algorithms

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recommendations! Published in 2017 at "IEEE Transactions on Cybernetics"

DOI: 10.1109/tcyb.2016.2611613

Abstract: In this paper, we investigate the nonzero-sum games for a class of discrete-time (DT) nonlinear systems by using a novel policy iteration (PI) adaptive dynamic programming (ADP) method. The main idea of our proposed PI… read more here.

Keywords: discrete time; nonzero sum; sum games; adaptive dynamic ... See more keywords
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Data-Driven Policy Iteration for Nonlinear Optimal Control Problems.

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recommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3142501

Abstract: The design of optimal control laws for nonlinear systems is tackled without knowledge of the underlying plant and of a functional description of the cost function. The proposed data-driven method is based only on real-time… read more here.

Keywords: policy iteration; control; policy; data driven ... See more keywords

Dual Parallel Policy Iteration With Coupled Policy Improvement.

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recommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3202192

Abstract: In this article, a novel coupled policy improvement mechanism is developed for improving policy iteration (PI) algorithms. In contrast to the common PI, the developed dual parallel policy iteration (DPPI) with coupled policy improvement mechanism… read more here.

Keywords: policy iteration; parallel policy; policy; policy improvement ... See more keywords
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Policy-Iteration-Based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control.

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recommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3225090

Abstract: The Hamilton-Jacobi-Bellman (HJB) equation serves as the necessary and sufficient condition for the optimal solution to the continuous-time (CT) optimal control problem (OCP). Compared with the infinite-horizon HJB equation, the solving of the finite-horizon (FH)… read more here.

Keywords: time; continuous time; policy iteration; horizon ... See more keywords
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Data-Based Optimal Control for Weakly Coupled Nonlinear Systems Using Policy Iteration

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recommendations! Published in 2018 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"

DOI: 10.1109/tsmc.2016.2606479

Abstract: In this paper, a data-based online learning algorithm is established to solve the optimal control problem for weakly coupled continuous-time nonlinear systems with completely unknown dynamics. Using the weak coupling theory, we reformulate the original… read more here.

Keywords: control; data based; policy iteration; nonlinear systems ... See more keywords
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Control of a Realistic Wave Energy Converter Model Using Least-Squares Policy Iteration

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recommendations! Published in 2017 at "IEEE Transactions on Sustainable Energy"

DOI: 10.1109/tste.2017.2696060

Abstract: An algorithm has been developed for the resistive control of a nonlinear model of a wave energy converter using least-squares policy iteration, which incorporates function approximation, with tabular and radial basis functions being used as… read more here.

Keywords: least squares; wave energy; energy; squares policy ... See more keywords