Author: Koji TsumuraPublisher:
ISBN:
Category :
Languages : en
Pages : 14
Book Description
Criteria for System Identification with Quantized Data and the Optimal Quantization Schemes
Author: Koji TsumuraCriteria for System Identification with Quantized Data and the Optimal Quantization Schemes
Author: System Identification Using Regular and Quantized Observations
Author: Qi HePublisher: Springer Science & Business Media
ISBN: 1461462924
Category : Science
Languages : en
Pages : 100
Book Description
This brief presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular. By considering both space complexity in terms of signal quantization and time complexity with respect to data window sizes, this study provides a new perspective to understand the fundamental relationship between probabilistic errors and resources, which may represent data sizes in computer usage, computational complexity in algorithms, sample sizes in statistical analysis and channel bandwidths in communications.
System Identification with Quantized Observations
Author: Le Yi WangPublisher: Springer Science & Business Media
ISBN: 0817649565
Category : Science
Languages : en
Pages : 317
Book Description
This book presents recently developed methodologies that utilize quantized information in system identification and explores their potential in extending control capabilities for systems with limited sensor information or networked systems. The results of these methodologies can be applied to signal processing and control design of communication and computer networks, sensor networks, mobile agents, coordinated data fusion, remote sensing, telemedicine, and other fields in which noise-corrupted quantized data need to be processed. System Identification with Quantized Observations is an excellent resource for graduate students, systems theorists, control engineers, applied mathematicians, as well as practitioners who use identification algorithms in their work.
Computer Simulation, 1951-1976
Author: Per A. HolstPublisher:
ISBN:
Category : Computers
Languages : en
Pages : 472
Book Description
Dissertation Abstracts
Author: Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 1382
Book Description
Abstracts of dissertations and monographs in microform.
Identification of Dynamic Systems
Author: Rolf IsermannPublisher: Springer
ISBN: 9783540871552
Category : Technology & Engineering
Languages : en
Pages : 705
Book Description
Precise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such precise models cannot be derived using theoretical considerations alone. Therefore, they must be determined experimentally. This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification or process identification. Both offline and online methods are presented, i.e. methods that post-process the measured data as well as methods that provide models during the measurement. The book is theory-oriented and application-oriented and most methods covered have been used successfully in practical applications for many different processes. Illustrative examples in this book with real measured data range from hydraulic and electric actuators up to combustion engines. Real experimental data is also provided on the Springer webpage, allowing readers to gather their first experience with the methods presented in this book. Among others, the book covers the following subjects: determination of the non-parametric frequency response, (fast) Fourier transform, correlation analysis, parameter estimation with a focus on the method of Least Squares and modifications, identification of time-variant processes, identification in closed-loop, identification of continuous time processes, and subspace methods. Some methods for nonlinear system identification are also considered, such as the Extended Kalman filter and neural networks. The different methods are compared by using a real three-mass oscillator process, a model of a drive train. For many identification methods, hints for the practical implementation and application are provided. The book is intended to meet the needs of students and practicing engineers working in research and development, design and manufacturing.
Control Abstracts
Author: Documentation Abstracts
Author: Nonlinear and Adaptive Control Systems
Author: Zhengtao DingPublisher: Institution of Engineering and Technology
ISBN: 1849195749
Category : Technology & Engineering
Languages : en
Pages : 288
Book Description
An adaptive system for linear systems with unknown parameters is a nonlinear system. The analysis of such adaptive systems requires similar techniques to analyse nonlinear systems. Therefore it is natural to treat adaptive control as a part of nonlinear control systems. Nonlinear and Adaptive Control Systems treats nonlinear control and adaptive controlin a unified framework, presenting the major results at a moderate mathematical level, suitable for MSc students and engineers with undergraduate degrees. Topics covered include introduction to nonlinear systems; state space models; describing functions forcommon nonlinear components; stability theory; feedback linearization; adaptive control; nonlinear observer design; backstepping design; disturbance rejection and output regulation; and control applications, including harmonic estimation and rejection inpower distribution systems, observer and control design for circadian rhythms, and discrete-time implementation of continuous-timenonlinear control laws.