Optimistic planning algorithms for state-constrained optimal control problems

In this work, we study optimistic planning methods to solve some state-constrained optimal control problems in finite horizon. While classical methods for calculating the value function are generally based on a discretization in the state space, optimistic planning algorithms have the advantage of u...

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Bibliographic Details
Published in:	Computers & mathematics with applications (1987) Vol. 109; no. 1; pp. 158 - 179
Main Authors:	Bokanowski, Olivier, Gammoudi, Nidhal, Zidani, Hasnaa
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.03.2022 Elsevier BV Elsevier
Subjects:	Adaptive control Algorithms Artificial Intelligence Computational Complexity Computer Science Constraints Discretization Mathematics Numerical Analysis Optimal control Optimal control problems Optimistic planning algorithm Optimization Optimization and Control Piecewise control policies State constraints Piecewise control policies Optimal control problems Optimistic planning algorithm State constraints optimal control problems state constraints
ISSN:	0898-1221, 1873-7668
Online Access:	Get full text
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