| Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| E-Books | Biblioteca da FCTUNL Online | Não Ficção | TJ213.SPR FCT 82047 (Browse shelf) | 1 | Available |
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| TJ213.ELS FCT 85562 Practical data communications for instrumentation and control | TJ213.ELS FCT 85610 Robotics | TJ213.SPR FCT 81033 Optimal control | TJ213.SPR FCT 82047 Model-based control of networked systems | TJ213.SPR FCT 82091 Introduction to time-delay systems | TJ213.SPR FCT 82251 Stability analysis and robust control of time-delay systems | TJ214.SPR FCT Distributed cooperative model predictive control of networked systems |
Colocação: Online
This monograph introduces a class of networked control systems (NCS) called model-based networked control systems (MB-NCS) and presents various architectures and control strategies designed to improve the performance of NCS. The overall performance of NCS considers the appropriate use of network resources, particularly network bandwidth, in conjunction with the desired response of the system being controlled. The book begins with a detailed description of the basic MB-NCS architecture that provides stability conditions in terms of state feedback updates . It also covers typical problems in NCS such as network delays, network scheduling, and data quantization, as well as more general control problems such as output feedback control, nonlinear systems stabilization, and tracking control. Key features and topics include: Time-triggered and event-triggered feedback updates Stabilization of uncertain systems subject to time delays, quantization, and extended absence of feedback Optimal control analysis and design of model-based networked systems Parameter identification and adaptive stabilization of systems controlled over networks The MB-NCS approach to decentralized control of distributed systems Model-Based Control of Networked Systems will appeal to researchers, practitioners, and graduate students interested in the control of networked systems, distributed systems, and systems with limited feedback.
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