Dynamic Optimization of Path-Constrained Switched Systems

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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.