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Synthesis of control Lyapunov functions and stabilizing feedback strategies using exit-time optimal control

Title data

Yegorov, Ivan ; Dower, Peter M. ; Grüne, Lars:
Synthesis of control Lyapunov functions and stabilizing feedback strategies using exit-time optimal control.
Bayreuth , 2019 . - 47 p.

Official URL: Volltext

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Abstract in another language

This paper studies the problem of constructing control Lyapunov functions (CLFs) and feedback stabilization strategies for deterministic nonlinear control systems described by ordinary differential equations. Many numerical methods for solving the Hamilton-Jacobi-Bellman partial differential equations specifying CLFs typically require dense state space discretizations and consequently suffer from the curse of dimensionality. A relevant direction of attenuating the curse of dimensionality concerns reducing the computation of the values of CLFs and associated feedbacks at any selected states to finite-dimensional nonlinear programming problems. In this work, exit-time optimal control is used for that purpose. First, we state an exit-time optimal control problem with respect to a sublevel set of an appropriate local CLF and establish that, under a number of reasonable conditions, the concatenation of the corresponding value function and the local CLF is a global CLF in the whole domain of asymptotic null-controllability. This leads to a curse-of-dimensionality-free approach to feedback stabilization. We also investigate the formulated optimal control problem. A modification of these constructions for the case when one does not find a suitable local CLF is provided as well. Supporting numerical simulation results that illustrate our development are subsequently presented and discussed. Furthermore, it is pointed out that the curse of complexity may cause significant issues in practical implementation even if the curse of dimensionality is mitigated.

Further data

Item Type: Preprint, postprint
Keywords: control Lyapunov functions; feedback stabilization; exit-time optimal control; Hamilton–Jacobi–Bellman equations; curse of dimensionality; curse of complexity; Pontryagin’s principle; method of characteristics; direct approximation techniques; model predictive control
Subject classification: MSC classification: 93D05; 93D15; 49L25
Institutions of the University: Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics)
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) > Chair Mathematics V (Applied Mathematics) - Univ.-Prof. Dr. Lars Grüne)
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Applied Mathematics (Applied Mathematics)
Profile Fields
Profile Fields > Advanced Fields
Profile Fields > Advanced Fields > Nonlinear Dynamics
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 07 Jun 2019 06:43
Last Modified: 07 Jun 2019 06:43
URI: https://eref.uni-bayreuth.de/id/eprint/49400