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008 210720s2021 flua o 000 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9781000429305
_q(ePub ebook)
020 _a100042930X
020 _a9781000429299
_q(PDF ebook)
020 _a1000429296
020 _a9781003189213
_q(ebook)
020 _a1003189210
020 _z9781032038179 (hbk.)
020 _z1032038179
024 7 _a10.1201/9781003189213
_2doi
035 _a(OCoLC)1264404290
035 _a(OCoLC-P)1264404290
050 4 _aQA402
072 7 _aCOM
_x043000
_2bisacsh
072 7 _aTEC
_x007000
_2bisacsh
072 7 _aTHRB
_2bicssc
082 0 4 _a629.8312
_223
100 1 _aLiang, Jinling,
_eauthor.
_916977
245 1 0 _aRecursive filtering for 2-D shift-varying systems with communication constraints /
_cJinling Liang, Zidong Wang, Fan Wang.
250 _a1st.
264 1 _aBoca Raton :
_bCRC Press,
_c2021.
300 _a1 online resource :
_billustrations (black and white)
336 _atext
_2rdacontent
336 _astill image
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
500 _a<P><STRONG>1. Introduction</STRONG></P><P>1.1 2-D Systems</P><P>1.2 Communication Constraints</P><P>1.3 Recent Progress on Filtering for 2-D Systems</P><P>1.4 Outline</P><B><P>2. Minimum-Variance Recursive Filtering for Two-Dimensional Systems with Degraded Measurements: Boundedness and Monotonicity </P></B><P>2.1 Problem Formulation</P><P>2.2 The Minimum-Variance Filter Design</P><P>2.3 Performance Analysis</P><P>2.4 Numerical Example</P><P>2.5 Summary</P><B><P>3. Robust Kalman Filtering for Two-Dimensional Systems with Multiplicative Noises and Measurement Degradations</P></B><P>3.1 Problem Formulation and Preliminaries</P><P>3.2 Upper Bound for The Generalized Error Variance</P><P>3.3 Suboptimal Filter Design</P><P>3.4 Numerical Example</P><P>3.5 Summary</P><B><P>4. Robust Finite-Horizon Filtering for Two-Dimensional Systems with Randomly Varying Sensor Delays</P></B><P>4.1 Problem Formulation</P><P>4.2 Preliminaries</P><P>4.3 Finite-Horizon Robust Kalman Filter Design</P><P>4.4 Numerical Example</P><P>4.5 Summary</P><B><P>5. Recursive Filtering for Two-Dimensional Systems with Missing Measurements subject to Uncertain Probabilities</P></B><P>5.1 Problem Formulation</P><P>5.2 Recursive Filter Design</P><P>5.3 Numerical Example</P><P>5.4 Summary</P><B><P>6. Resilient State Estimation for Two-Dimensional Shift-Varying Systems with Redundant Channels</P></B><P>6.1 Problem Formulation and Preliminaries</P><P>6.2 Resilient Filter Design</P><P>6.3 Numerical Examples</P><P>6.4 Summary</P><B><P>7. Recursive Distributed Filtering for Two-Dimensional Shift-Varying Systems Over Sensor Networks Under Random Access Protocols</P></B><P>7.1 Problem Formulation and Preliminaries</P><P>7.2 Main Results</P><P>7.3 Numerical Example</P><P>7.4 Summary</P><B><P>8. Resilient Filtering for Linear Shift-Varying Repetitive Processes under Uniform Quantizations and Round-Robin Protocols</P></B><P>8.1 Problem Formulation </P><P>8.2 Main Results </P><P>8.3 Numerical Example</P><P>8.4 Summary</P><B><P>9. Event-Triggered Recursive Filtering for Shift-Varying Linear Repetitive Processes</P></B><P>9.1 Problem Formulation</P><P>9.2 Main Results</P><P>9.3 Numerical Example</P><P>9.4 Summary</P><B><P>10. Conclusions and Future Topics </P></B>
520 _aThis book presents up-to-date research developments and novel methodologies regarding recursive filtering for 2-D shift-varying systems with various communication constraints. It investigates recursive filter/estimator design and performance analysis by a combination of intensive stochastic analysis, recursive Riccati-like equations, variance-constrained approach, and mathematical induction. Each chapter considers dynamics of the system, subtle design of filter gains, and effects of the communication constraints on filtering performance. Effectiveness of the derived theories and applicability of the developed filtering strategies are illustrated via simulation examples and practical insight. Features:- Covers recent advances of recursive filtering for 2-D shift-varying systems subjected to communication constraints from the engineering perspective. Includes the recursive filter design, resilience operation and performance analysis for the considered 2-D shift-varying systems. Captures the essence of the design for 2-D recursive filters. Develops a series of latest results about the robust Kalman filtering and protocol-based filtering. Analyzes recursive filter design and filtering performance for the considered systems. This book aims at graduate students and researchers in mechanical engineering, industrial engineering, communications networks, applied mathematics, robotics and control systems.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aControl theory
_xMathematics.
_913326
650 7 _aCOMPUTERS / Networking / General
_2bisacsh
_98506
650 7 _aTECHNOLOGY / Electricity
_2bisacsh
_916978
700 1 _aWang, Zidong,
_eauthor.
_916979
700 1 _aWang, Fan,
_eauthor.
_916980
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003189213
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cEBK
999 _c71393
_d71393