On the control of hybrid nonlinear systems
type: Dataset
description: This dissertation concerns the development of reduced complexity controllers for hybrid switched systems. A diverse number of applications from automotive industry, ﬂuid dyna- mics and power systems are treated. Some general open loop optimal and predictive control schemes are proposed. The main motivation behind each method is the reduction of the combinatorics. In this thesis, two main contributions can be distinguished. The ﬁrst one concerns the optimal control of switched nonlinear systems where an algorithm based on strong variations is proposed and some convergence results proven. The complexity of the scheme is linear in the number of locations, this in conjunction with its simplicity makes it attractive for large scale systems. An example from the automotive industry is treated to further illustrate the tractability of the scheme. The second contribution concerns the development of a hierarchical approach for switched nonlinear systems. At the lower level, feedback controllers are associated to each location and at the higher level a predictive approach with a reduced order parametrization is in force. Based on this methodology, two schemes are developed and successfully tested in respectively ﬂuid stabilisation by actuator switching and voltage stabilization in power systems.
landing page: https://theses.hal.science/tel-00082495
keyword: algorithme-de-commande
keyword: combinatorial-optimisation
keyword: commande-optimale
keyword: commande-predictive
keyword: control-algorithms
keyword: exemples-de-systemes-hybrides
keyword: hybrid-systems
keyword: infoeu-reposemanticsdoctoralthesis
keyword: maximum-principle
keyword: optimal-control
keyword: optimisation-combinatoire
keyword: predictive-control
keyword: principe-du-maximum
keyword: spiautoengineering-sciences-physicsautomatic
keyword: stabilisation-de-tensions
keyword: switched-systems
keyword: systemes-a-commutations
keyword: systemes-hybrides
keyword: theses
keyword: voltage-stabilisation
issued: 2026-05-11T01:30:00.492690
modified: 2026-05-11T01:30:00.492695
language: fr
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

On the control of hybrid nonlinear systems
type: Distribution
format: HTML
access URL: https://theses.hal.science/tel-00082495
issued: 2026-05-11T01:30:00.543481
modified: 2026-05-11T01:30:00.466485