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Recent Advances in Control and Filtering of Dynamic Systems with Constrained Sig
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Approximately£139.66
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Item specifics
- Condition
- ISBN-13
- 9783030071547
- Book Title
- Recent Advances in Control and Filtering of Dynamic Systems with
- ISBN
- 9783030071547
- Subject Area
- Computers, Technology & Engineering
- Publication Name
- Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals
- Publisher
- Springer International Publishing A&G
- Item Length
- 9.2 in
- Subject
- Engineering (General), Hardware / General, Intelligence (Ai) & Semantics, Electrical
- Publication Year
- 2018
- Series
- Studies in Systems, Decision and Control Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 0.5 in
- Item Weight
- 16 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xxvii, 226 Pages
About this product
Product Information
This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system's stability and performance. This book discusses how to deal with such constraints to guarantee the system's design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques. This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3030071545
ISBN-13
9783030071547
eBay Product ID (ePID)
4038544468
Product Key Features
Number of Pages
Xxvii, 226 Pages
Language
English
Publication Name
Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals
Publication Year
2018
Subject
Engineering (General), Hardware / General, Intelligence (Ai) & Semantics, Electrical
Type
Textbook
Subject Area
Computers, Technology & Engineering
Series
Studies in Systems, Decision and Control Ser.
Format
Trade Paperback
Dimensions
Item Height
0.5 in
Item Weight
16 Oz
Item Length
9.2 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Trade
Series Volume Number
170
Number of Volumes
1 Vol.
Illustrated
Yes
Lc Classification Number
Tj212-225
Table of Content
Introduction.- Network-based Control with Asynchronous Samplings and Quantizations.- Quantized Static Output Feedback Control For Discrete-Time Systems.- Sampled-Data Control for a Class of Linear Systems with Randomly Occurring Missing Data.- Reliable Event-triggered Retarded Dynamic Output Feedback H∞ Control for Networked Systems.- Reliable H∞ Event-triggered Control for Markov Jump Systems.- Fuzzy Resilient Energy-to-Peak Filter Design for Continuous-time Nonlinear Systems.- Fuzzy Generalized H2 Filtering For Nonlinear Discrete-Time Systems With Measurement Quantization.- Event-triggered Dissipative Filtering for Networked semi-Markov Jump Systems.- Network-based H∞ State Estimation for Neural Networks Using Limited Measurement.- Mixed H∞/passive Synchronization for Complex Dynamical Networks with Sampled-data Control.- Index.
Copyright Date
2019
Item description from the seller
Business seller information
Premier Books LLC
David Taylor
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