Networked Control Systems with Intermittent Feedback / Domagoj Tolic, Sandra Hirche

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Automation and control engineering seriesPublisher: Boca Raton, FL : CRC Press, 2017Description: 1 Online-RessourceSubject(s): Additional physical formats: 1498756352. | 9781498756358. DDC classification:
  • 629.89
LOC classification:
  • TJ216
Online resources: Summary: 2.3 Problem Statement: Stabilizing Transmission Intervals and De-lays2.4 Computing Maximally Allowable Transfer Intervals; 2.4.1 Lp-Stability with Bias of Impulsive Delayed LTI Sys-tems; 2.4.2 Obtaining MATIs via the Small-Gain Theorem; 2.5 Numerical Examples: Batch Reactor, Planar System and In-verted Pendulum; 2.5.1 Batch Reactor with Constant Delays; 2.5.2 Planar System with Constant Delays; 2.5.3 Inverted Pendulum with Time-Varying Delays; 2.6 Conclusions and Perspectives; 2.7 Proofs of Main Results; 2.7.1 Proof of Lemma 2.1; 2.7.2 Proof of Theorem 2.1; 2.7.3 Proof of Theorem 2.2Summary: 2.7.4 Proof of Corollary 2.12.7.5 Proof of Proposition 2.1; Chapter 3 Input-Output Triggering; 3.1 Motivation, Applications and Related Works; 3.1.1 Motivational Example: Autonomous Cruise Control .; 3.1.2 Applications and Literature Review; 3.2 Impulsive Switched Systems and Related Stability Notions .; 3.3 Problem Statement: Self-Triggering from Input and Output Measurements; 3.4 Input-Output Triggered Mechanism; 3.4.1 Why Lp-gains over a Finite Horizon?; 3.4.2 Proposed Approach; 3.4.3 Design of Input-Output Triggering; 3.4.3.1 Cases 3.1 and 3.2; 3.4.3.2 Case 3.3Summary: 4.2 Problem Statement: Performance Index Minimization4.3 Obtaining Optimal Transmission Intervals; 4.3.1 Input-Output-Triggering via the Small-Gain Theorem; 4.3.2 Dynamic Programming; 4.3.3 Approximate Dynamic Programming; 4.3.4 Approximation Architecture; 4.3.4.1 Desired Properties ; 4.3.5 Partially Observable States; 4.4 Example: Autonomous Cruise Control (Revisited); 4.5 Conclusions and Perspectives; Chapter 5 Multi-Loop NCSs over a Shared Communication Channels; 5.1 Motivation, Applications and Related Works; 5.1.1 Medium Access Control; 5.2 Markov Chains and Stochastic StabilitySummary: Networked Control Systems (NCSs) are spatially distributed systems for which the communication between sensors, actuators and controllers is realized by a shared (wired or wireless) communication network. NCSs offer several advantages, such as reduced installation and maintenance costs, as well as greater flexibility, over conventional control systems in which parts of control loops exchange information via dedicated point-to-point connections. The principal goal of this book is to present a coherent and versatile framework applicable to various settings investigated by the authors over the last several years. This framework is applicable to nonlinear time-varying dynamic plants and controllers with delayed dynamics; a large class of static, dynamic, probabilistic and priority-oriented scheduling protocols; delayed, noisy, lossy and intermittent information exchange; decentralized control problems of heterogeneous agents with time-varying directed (not necessarily balanced) communication topologies; state- and output-feedback; off-line and on-line intermittent feedback; optimal intermittent feedback through Approximate Dynamic Programming (ADP) and Reinforcement Learning (RL); and control systems with exogenous disturbances and modeling uncertaintiesPPN: PPN: 885936078Package identifier: Produktsigel: ZDB-4-NLEBK
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