Dynamic Optimization of Path-Constrained Switched Systems

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Dynamic optimization of path-constrained switched systems is explored through systematic theoretical results and innovative numerical algorithms. The book addresses the complexities of optimizing system inputs, switch times, and sequences while adhering to rigorous infinite-dimensional path constraints. It introduces novel methodologies, including bi-level and single-level algorithms, and employs generalized Benders decomposition for free switching sequences. A multi-objective algorithm for local Pareto solutions is also presented. This comprehensive framework serves researchers, graduate students, and engineers in control theory and optimization fields.