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Stability Analysis and State Estimation of Memristive Neural Networks (Hardcover)
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Stability Analysis and State Estimation of Memristive Neural Networks (Hardcover)
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In this book, the stability analysis and estimator design problems
are discussed for delayed discrete-time memristive neural networks.
In each chapter, the analysis problems are firstly considered,
where the stability, synchronization and other performances (e.g.,
robustness, disturbances attenuation level) are investigated within
a unified theoretical framework. In this stage, some novel notions
are put forward to reflect the engineering practice. Then, the
estimator design issues are discussed where sufficient conditions
are derived to ensure the existence of the desired estimators with
guaranteed performances. Finally, the theories and techniques
developed in previous parts are applied to deal with some issues in
several emerging research areas. The book Unifies existing and
emerging concepts concerning delayed discrete memristive neural
networks with an emphasis on a variety of network-induced phenomena
Captures recent advances of theories, techniques, and applications
of delayed discrete memristive neural networks from a
network-oriented perspective Provides a series of latest results in
two popular yet interrelated areas, stability analysis and state
estimation of neural networks Exploits a unified framework for
analysis and synthesis by designing new tools and techniques in
combination with conventional theories of systems science, control
engineering and signal processing Gives simulation examples in each
chapter to reflect the engineering practice
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