Theory of Robot Control by Carlos Canudas De Wit
The advent of new high-speed microprocessor technology together with the need for high-performance robots created substantial and realistic place for control theory in the field of robotics. Since the beginning of the 80's, robotics and control theory have greatly benefited from a mutual fertiliza- tion. On one hand, robot models (inherently highly nonlinear) have been used as good case studies for exemplifying general concepts of analysis and design of advanced control theory; on the other hand, robot manipulator by using new control algorithms. Fur- performance has been improved thermore, many interesting robotics problems, e. g., in mobile robots, have brought new control theory research lines and given rise to the development of new controllers (time-varying and nonlinear). Robots in control are more than a simple case study. They represent a natural source of inspiration and a great pedagogical tool for research and teaching in control theory. Several advanced control algorithms have been developed for different types of robots (rigid, flexible and mobile), based either on existing control techniques, e. g., feedback linearization and adaptive control, or on new control techniques that have been developed on purpose. Most of those results, although widely spread, are nowadays rather dispersed in different journals and conference proceedings. The purpose of this book is to collect some of the most fundamental and current results on theory of robot control in a unified framework, by editing, improving and completing previous works in the area.-
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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Sampled-Data Models for Linear and Nonlinear 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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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
| SKU | Unavailable |
| ISBN 13 | 9781447115038 |
| ISBN 10 | 1447115031 |
| Title | Theory of Robot Control |
| Author | Carlos Canudas De Wit |
| Series | Communications And Control Engineering |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer London Ltd |
| Year published | 2012-02-12 |
| Number of pages | 392 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |