Hybrid Dynamical Systems : Modeling, Stability, and Robustness / by R. Goebel and others. [Electronic Resource]
Material type: Computer filePublication details: Princeton : Princeton, 2012Description: 228pISBN:- 9781400842636
- 629.836Â G55H
Item type | Home library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
e-Book | S. R. Ranganathan Learning Hub Online | Textbook | 629.836 G55H (Browse shelf(Opens below)) | Available (e-Book For Access) | Platform : ProQuest | EB0252 |
Browsing S. R. Ranganathan Learning Hub shelves, Shelving location: Online, Collection: Textbook Close shelf browser (Hides shelf browser)
629.8312 L586O Optimal Control | 629.8312 Sk26U A Unified Algebraic Approach to Linear Control Design | 629.836 As89A Adaptive Control | 629.836 G55H Hybrid Dynamical Systems : Modeling, Stability, and Robustness | 629.836 H117N Nonlinear Dynamical Systems and Control : A Lyapunov-Based Approach | 629.836 V95O Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles | 629.89 B627E Exploring Arduino : Tools and Techniques for Engineering Wizardry |
Hybrid dynamical systems exhibit continuous and instantaneous changes, having features of continuous-time and discrete-time dynamical systems. Filled with a wealth of examples to illustrate concepts, this book presents a complete theory of robust asymptotic stability for hybrid dynamical systems that is applicable to the design of hybrid control algorithms--algorithms that feature logic, timers, or combinations of digital and analog components. With the tools of modern mathematical analysis, Hybrid Dynamical Systems unifies and generalizes earlier developments in continuous-time and discrete-time nonlinear systems. It presents hybrid system versions of the necessary and sufficient Lyapunov conditions for asymptotic stability, invariance principles, and approximation techniques, and examines the robustness of asymptotic stability, motivated by the goal of designing robust hybrid control algorithms. This self-contained and classroom-tested book requires standard background in mathematical analysis and differential equations or nonlinear systems. It will interest graduate students in engineering as well as students and researchers in control, computer science, and mathematics.
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