Stability analysis and state estimation of memristive neural networks. (2021)

• Record Type: Book
• Further Information: Note: Hongjian Liu, Zidong Wang, Lifeng Ma.
• Authors: Liu, Hongjian; Wang, Zidong, 1966-; Ma, Lifeng
• Contents: 1 Introduction; 1.1 Background on Memristive Neural Networks; 1.2 MNNs subject to Engineering-Oriented Complexities; 1.3 Design Techniques; 1.4 Outline 2 H1 State Estimation for Discrete-Time Memristive Recurrent Neural Networks with Stochastic Time-Delays; 2.1 Problem Formulation; 2.2 Main Results; 2.3 An Illustrative Example; 2.4 Summary 3 Event-Triggered H1 State Estimation for Delayed Stochastic Memristive Neural Networks with Missing Measurements: The Discrete Time Case; 3.1 Problem Formulation; 3.2 Main Results; 3.3 An Illustrative Example; 3.4 Summary 4 H1 State Estimation for Discrete-Time Stochastic Memristive BAM Neural Networks with Mixed Time-Delays; 4.1 Problem Formulation and Preliminaries; 4.2 Main Results; 4.3 Numerical Example; 4.4 Summary 5 Stability Analysis for Discrete-Time Stochastic Memristive Neural Networks with Both Leakage and Probabilistic Delays; 5.1 Problem Formulation; 5.2 Main Results; 5.3 Illustrative Examples; 5.4 Summary 6 Delay-Distribution-Dependent H1 State Estimation for Discrete-Time Memristive Neural Networks with Mixed Time-Delays and Fading Measurements; 6.1 Problem Formulation; 6.2 Main Results; 6.3 Illustrative Examples; 6.4 Summary 7 On State Estimation for Discrete Time-Delayed Memristive Neural Networks under the WTOD Protocol: A Resilient Set-Membership Approach; 7.1 Problem Formulation; 7.2 Main Results; 7.3 An Illustrative Example; 7.4 Summary 8 On Finite-Horizon H1 State Estimation for Discrete-Time Delayed Memristive Neural Networks under Stochastic Communication Protocol; 8.1 Problem Formulation and Preliminaries; 8.2 Main Results; 8.3 An Illustrative Example; 8.4 Summary 9 Resilient H1 State Estimation for Discrete-Time Stochastic Delayed Memristive Neural Networks: A Dynamic Event-Triggered Mechanism; 9.1 Problem Formulation; 9.2 Main Results; 9.3 An Illustrative Example; 9.4 Summary 10 H1 and l2-l1 State Estimation for Delayed Memristive Neural Networks on Finite Horizon: The Round-Robin Protocol; 10.1 Problem Formulation and Preliminaries; 10.2 Main Results; 10.3 An Illustrative Example; 10.4 Summary; 11 Conclusions and Future Topics; Bibliography; Index
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2021
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 006.32; Neural networks (Computer science); Memristors; Automatic control
• Languages: English
• ISBNs: 9781000415087; 9781000415001; 9781003189152
• Related ISBNs: 9781032037103
• Notes: Note: Description based on CIP data; resource not viewed.
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