Complex systems : relationships between control, communications and computing
著者
書誌事項
Complex systems : relationships between control, communications and computing
（Studies in systems, decision and control / series editor Janusz Kacprzyk, v. 55）
Springer, c2016
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This book gives a wide-ranging description of the many facets of complex dynamic networks and systems within an infrastructure provided by integrated control and supervision: envisioning, design, experimental exploration, and implementation. The theoretical contributions and the case studies presented can reach control goals beyond those of stabilization and output regulation or even of adaptive control.
Reporting on work of the Control of Complex Systems (COSY) research program, Complex Systems follows from and expands upon an earlier collection: Control of Complex Systems by introducing novel theoretical techniques for hard-to-control networks and systems.
The major common feature of all the superficially diverse contributions encompassed by this book is that of spotting and exploiting possible areas of mutual reinforcement between control, computing and communications. These help readers to achieve not only robust stable plant system operation but also properties such as collective adaptivity, integrity and survivability at the same time retaining desired performance quality.
Applications in the individual chapters are drawn from:
* the general implementation of model-based diagnosis and systems engineering in medical technology, in communication, and in power and airport networks;
* the creation of biologically inspired control brains and safety-critical human-machine systems,
* process-industrial uses;
* biped robots;
* large space structures and unmanned aerial vehicles; and
* precision servomechanisms and other advanced technologies.
Complex Systems provides researchers from engineering, applied mathematics and computer science backgrounds with innovative theoretical and practical insights into the state-of-the-art of complex networks and systems research. It employs physical implementations and extensive computer simulations. Graduate students specializing in complex-systems
目次
Introduction.- Part I Control and Supervision for Complex Networks and Systems.- Diagnosis for Control and Decision Support in Complex Systems.- Integration of Supervisory Control Synthesis in Model-Based Systems Engineering.- Output Synchronization of Dynamical Networks Having Nodes with Relative Degree One Nonlinear Systems.- Mechanism Design for Incentive-Compatible Control of Networks.- Building Smart Grid.- Space-Independent Community Detection in Airport Networks.- Part II Machine Intelligence and Learning in Complex Control Systems.- Creating and Controlling Complex Biological Brains.- Iterative Learning Control as an Enabler for Robotically Assisted Upper-Limb Stroke Rehabilitation.- Adaptive-Fuzzy-Modelling-Based Quantitative Assessment of Operator Functional State in Complex and Safety-Critical Human-Machine Systems.- Neural Networks with Anticipation and some Problems of Complexity Theory.- Decentralized Control of Complex Dynamic Systems Employing ANN Function Emulation.- Part III Control and Supervision of Complex Mechanical Structures and Robots.- How to Cope with Disturbance in Biped Locomotion.- Adaptive Control of Large Space Structures.- Market-Based Optimization for the Navigation of Mobile Robots.- Fault-Tolerant Estimation of UAV Dynamics via Robust Kalman Filters.- Guidance Laws and Navigation Systems for Quadrotor UAV.- State-Dependent Riccati-Equation-Based Tracking Control of a Hydraulic Seismic Isolator Test Rig.- Part IV Control and Supervision in Multi-Agent and Industrial Systems.- Distributed Supervisory Strategies for Multi-Agent Systems.- Modularity and Supervision in Petri-Net-Based Synthesis of Agents Cooperation.- Adaptive Internal-Model-Based Distribution Agreement in a Class of Multi-Agent Systems.- An Example of Fault Detection and Reconfiguration-Based Tolerance within Distributed Embedded Control Ssytems.- Predictive Control of Thermal Processes in Complex Industrial Furnaces.- Closed-Loop Control with Evolving Gaussian Process Models.- Part V Attentuation of Uncertain Disturbances through Fast Control Inputs Attenuation.- Sliding Manifold Design for Linear Systems with Scalar Unmatched Disturbances.- Sliding-Mode-Based Anti-Lock Braking System Control.- Switching Frequency Optimization of DC/AC Inverters Using Sliding Modes.- Discrete-Time Sliding-Mode Servo Systems Design with Disturbance Compensation Approach.- Pragmatic Design Methods using Adaptive Controller Structures for Mechatronic Applications with Variable Parameters and Working Conditions.- Concluding Remarks: A Look Forward to the Future.
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