Modeling Autonomous Systems: Theory and Tools

Related lectures (32)

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Explores Nonlinear Model Predictive Control, covering stability, optimality, pitfalls, and examples.

Explores learning and control for complex systems, addressing challenges and opportunities in technology and interdisciplinary research.

Covers the design and analysis of multivariable control systems, focusing on stability and zero steady-state tracking error.

Explores Infinite-Horizon Linear Quadratic (LQ) optimal control, emphasizing solution methods and practical examples.

Explores controlled stochastic processes, focusing on analysis, behavior, and optimization, using dynamic programming to solve real-world problems.

Explores Linear Quadratic optimal control theory, covering FH-LQ and IH-LQ problems and the importance of observability in control systems.

Covers the proof of the recursive formula for the optimal gains in LQ control over a finite horizon.

Explores model predictive control with multi-region MFDs in traffic flow modeling and discusses the impact of heterogeneity on control strategies.

Explores reachability and controllability in multivariable control systems, discussing tests, proofs, and their implications.

Explores weight design and stability analysis in multivariable control systems, emphasizing Lyapunov theory and LQR stability.