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The book explores dynamic optimization of switched systems under infinite-dimensional inequality path constraints, addressing the complexities of optimizing system inputs, switch times, and sequences. It introduces innovative methodologies using dynamic optimization and semi-infinite programming, ensuring simultaneous optimization and finite iteration termination with feasibility certification. Key algorithms include a bi-level approach for fixed sequences and a single-level method for free sequences, alongside a multi-objective dynamic optimization algorithm for local Pareto solutions. It serves as a valuable resource for researchers, graduate students, and engineers in control theory and optimization fields.
Achat du livre
Dynamic Optimization of Path-Constrained Switched Systems, Jun Fu, Chi Zhang
- Langue
- Année de publication
- 2024
- product-detail.submit-box.info.binding
- (souple)
Modes de paiement
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- Langue
- Anglais
- Éditeur
- Springer Nature Switzerland
- Publié
- 2024
- Format
- souple
- Pages
- 116
- ISBN13
- 9783031234309
- Séries
- Mots clés
- Nonfiction, Science et Mathématiques, Mathématiques
- Description
- The book explores dynamic optimization of switched systems under infinite-dimensional inequality path constraints, addressing the complexities of optimizing system inputs, switch times, and sequences. It introduces innovative methodologies using dynamic optimization and semi-infinite programming, ensuring simultaneous optimization and finite iteration termination with feasibility certification. Key algorithms include a bi-level approach for fixed sequences and a single-level method for free sequences, alongside a multi-objective dynamic optimization algorithm for local Pareto solutions. It serves as a valuable resource for researchers, graduate students, and engineers in control theory and optimization fields.