Author: Raymond Eugene Goodson
Publisher:
ISBN:
Category : System Identification--Congresses
Languages : en
Pages : 108
Book Description
Identification of Parameters in Distributed Systems
Author: Raymond Eugene Goodson
Publisher:
ISBN:
Category : System Identification--Congresses
Languages : en
Pages : 108
Book Description
Publisher:
ISBN:
Category : System Identification--Congresses
Languages : en
Pages : 108
Book Description
Optimal Measurement Methods for Distributed Parameter System Identification
Author: Dariusz Ucinski
Publisher: CRC Press
ISBN: 0203026780
Category : Mathematics
Languages : en
Pages : 390
Book Description
For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional spatial domains or require large investments in software systems. With the expense of scanning and moving sensors, optimal placement presents a critical problem.
Publisher: CRC Press
ISBN: 0203026780
Category : Mathematics
Languages : en
Pages : 390
Book Description
For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional spatial domains or require large investments in software systems. With the expense of scanning and moving sensors, optimal placement presents a critical problem.
Identification of Distributed Parameter Systems
Author: Charles Stephen Martin
Publisher:
ISBN:
Category :
Languages : en
Pages : 134
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 134
Book Description
Control of Distributed Parameter Systems 1982
Author: Jean-Pierre Babary
Publisher: Elsevier
ISBN: 1483153231
Category : Technology & Engineering
Languages : en
Pages : 661
Book Description
Control of Distributed Parameter Systems 1982 covers the proceeding of the Third International Federation of Automatic Control (IFAC) Symposium on Control of Distributed Parameter Systems. The book reviews papers that tackle issues concerning the control of distributed parameter systems, such as modeling, identification, estimation, stabilization, optimization, and energy system. The topics that the book tackles include notes on optimal and estimation result of nonlinear systems; approximation of the parameter identification problem in distributed parameters systems; and optimal control of a punctually located heat source. This text also encompasses the stabilization of nonlinear parabolic equations and the decoupling approach to the control of large spaceborne antenna systems. Stability of Hilbert space contraction semigroups and the tracking problem in the fractional representation approach are also discussed. This book will be of great interest to researchers and professionals whose work concerns automated control systems.
Publisher: Elsevier
ISBN: 1483153231
Category : Technology & Engineering
Languages : en
Pages : 661
Book Description
Control of Distributed Parameter Systems 1982 covers the proceeding of the Third International Federation of Automatic Control (IFAC) Symposium on Control of Distributed Parameter Systems. The book reviews papers that tackle issues concerning the control of distributed parameter systems, such as modeling, identification, estimation, stabilization, optimization, and energy system. The topics that the book tackles include notes on optimal and estimation result of nonlinear systems; approximation of the parameter identification problem in distributed parameters systems; and optimal control of a punctually located heat source. This text also encompasses the stabilization of nonlinear parabolic equations and the decoupling approach to the control of large spaceborne antenna systems. Stability of Hilbert space contraction semigroups and the tracking problem in the fractional representation approach are also discussed. This book will be of great interest to researchers and professionals whose work concerns automated control systems.
Identification and System Parameter Estimation 1982
Author: George A. Bekey
Publisher:
ISBN:
Category : Parameter estimation
Languages : en
Pages : 906
Book Description
Publisher:
ISBN:
Category : Parameter estimation
Languages : en
Pages : 906
Book Description
Distributed Parameter Control Systems
Author: Spyros G. Tzafestas
Publisher: Elsevier
ISBN: 148314738X
Category : Technology & Engineering
Languages : en
Pages : 526
Book Description
Distributed Parameter Control Systems: Theory and Application is a two-part book consisting of 10 theoretical and five application-oriented chapters contributed by well-known workers in the distributed-parameter systems. The book covers topics of distributed parameter control systems in the areas of simulation, identification, state estimation, stability, control (optimal, stochastic, and coordinated), numerical approximation methods, optimal sensor, and actuator positioning. Five applications works include chemical reactors, heat exchangers, petroleum reservoirs/aquifers, and nuclear reactors. The text will be a useful reference for both graduate students and professional researchers working in the field.
Publisher: Elsevier
ISBN: 148314738X
Category : Technology & Engineering
Languages : en
Pages : 526
Book Description
Distributed Parameter Control Systems: Theory and Application is a two-part book consisting of 10 theoretical and five application-oriented chapters contributed by well-known workers in the distributed-parameter systems. The book covers topics of distributed parameter control systems in the areas of simulation, identification, state estimation, stability, control (optimal, stochastic, and coordinated), numerical approximation methods, optimal sensor, and actuator positioning. Five applications works include chemical reactors, heat exchangers, petroleum reservoirs/aquifers, and nuclear reactors. The text will be a useful reference for both graduate students and professional researchers working in the field.
Identification and Control of Distributed Parameter Systems by Means of the Singular Value Decomposition
Author: David Henry Gay
Publisher:
ISBN:
Category :
Languages : en
Pages : 680
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 680
Book Description
Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems
Author: Maciej Patan
Publisher: Springer
ISBN: 364228230X
Category : Technology & Engineering
Languages : en
Pages : 300
Book Description
Sensor networks have recently come into prominence because they hold the potential to revolutionize a wide spectrum of both civilian and military applications. An ingenious characteristic of sensor networks is the distributed nature of data acquisition. Therefore they seem to be ideally prepared for the task of monitoring processes with spatio-temporal dynamics which constitute one of most general and important classes of systems in modelling of the real-world phenomena. It is clear that careful deployment and activation of sensor nodes are critical for collecting the most valuable information from the observed environment. Optimal Sensor Network Scheduling in Identification of Distributed Parameter Systems discusses the characteristic features of the sensor scheduling problem, analyzes classical and recent approaches, and proposes a wide range of original solutions, especially dedicated for networks with mobile and scanning nodes. Both researchers and practitioners will find the case studies, the proposed algorithms, and the numerical examples to be invaluable.
Publisher: Springer
ISBN: 364228230X
Category : Technology & Engineering
Languages : en
Pages : 300
Book Description
Sensor networks have recently come into prominence because they hold the potential to revolutionize a wide spectrum of both civilian and military applications. An ingenious characteristic of sensor networks is the distributed nature of data acquisition. Therefore they seem to be ideally prepared for the task of monitoring processes with spatio-temporal dynamics which constitute one of most general and important classes of systems in modelling of the real-world phenomena. It is clear that careful deployment and activation of sensor nodes are critical for collecting the most valuable information from the observed environment. Optimal Sensor Network Scheduling in Identification of Distributed Parameter Systems discusses the characteristic features of the sensor scheduling problem, analyzes classical and recent approaches, and proposes a wide range of original solutions, especially dedicated for networks with mobile and scanning nodes. Both researchers and practitioners will find the case studies, the proposed algorithms, and the numerical examples to be invaluable.
Identification and System Parameter Estimation
Author: Pieter Eykhoff
Publisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 672
Book Description
Publisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 672
Book Description
Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos
Author: Janya-anurak, Chettapong
Publisher: KIT Scientific Publishing
ISBN: 3731506424
Category : Electronic computers. Computer science
Languages : en
Pages : 248
Book Description
In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and identify systems. The generalized Polynomial Chaos (gPC) expansion is applied to reduce the computational effort. The framework using gPC based on Bayesian UQ proposed in this work is capable of analyzing the system systematically and reducing the disagreement between the model predictions and the measurements of the real processes to fulfill user defined performance criteria.
Publisher: KIT Scientific Publishing
ISBN: 3731506424
Category : Electronic computers. Computer science
Languages : en
Pages : 248
Book Description
In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and identify systems. The generalized Polynomial Chaos (gPC) expansion is applied to reduce the computational effort. The framework using gPC based on Bayesian UQ proposed in this work is capable of analyzing the system systematically and reducing the disagreement between the model predictions and the measurements of the real processes to fulfill user defined performance criteria.