Sampled-Data Models for Linear and Nonlinear Systems by Juan I Yuz
In this book, rather than emphasize differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates as high as they are, it is more appropriate to emphasise connections and similarities.-
Inverse Optimal Control and Inverse Noncooperative Dynamic Game Theory
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Robust Filtering for Uncertain Systems
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Adaptive Control
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Distributed Coordination of Multi-agent Networks
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Control of Higher-Dimensional PDEs
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Stochastic Reachability Analysis of Hybrid Systems
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Congestion Control in Data Transmission Networks
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Adaptive Dynamic Programming for Control
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Stability and Stabilization of Nonlinear Systems
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Optimal Design of Distributed Control and Embedded Systems
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Learning and Robust Control in Quantum Technology
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Randomized Algorithms for Analysis and Control of Uncertain Systems
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Cooperative Control of Multi-Agent Systems
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Stability Theory of Switched Dynamical Systems
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Discrete-Time and Discrete-Space Dynamical Systems
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Simulation-Based Algorithms for Markov Decision Processes
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Control of Wave and Beam PDEs
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Optimization and Dynamical Systems
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Stabilization, Optimal and Robust Control
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Loop Transfer Recovery: Analysis and Design
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Iterative Learning Control
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Model Reduction for Control System Design
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Functional Adaptive Control
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Interactive System Identification: Prospects and Pitfalls
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Dynamic Surface Control of Uncertain Nonlinear Systems
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Nonsmooth Mechanics
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Stability and Stabilization of Infinite Dimensional Systems with Applications
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Analysis and Control of Boolean Networks
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Stabilization of Navier-Stokes Flows
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Control of Nonlinear Dynamical Systems
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Non-Adaptive and Adaptive Control of Manipulation Robots
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Theory of Robot Control
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Direct Adaptive Control Algorithms:
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Control of Complex and Uncertain Systems
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Applied Dynamics and CAD of Manipulation Robots
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Kinematics and Trajectory Synthesis of Manipulation Robots
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Analysis of Periodically Time-Varying Systems
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Modelling and Control of Dynamic Flows in Communication Networks
“The book treats the classical subject of discretization with an interesting and more current perspectiveGraduate students and researchers in areas such as systems, control, and signal processing will find this book a useful reference.” (Hideaki Ishii, Mathematical Reviews, October, 2015)
| SKU | Unavailable |
| ISBN 13 | 9781447155614 |
| ISBN 10 | 1447155610 |
| Title | Sampled-Data Models for Linear and Nonlinear Systems |
| Author | Juan I Yuz |
| Series | Communications And Control Engineering |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer London Ltd |
| Year published | 2013-11-05 |
| Number of pages | 289 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |