Journal ArticleDOI
Event-Triggered Asynchronous Guaranteed Cost Control for Markov Jump Discrete-Time Neural Networks With Distributed Delay and Channel Fading
TLDR
Some novel sufficient conditions are obtained to guarantee that the closed-loop system reaches a specified cost value under the designed jumping state feedback control law in terms of linear matrix inequalities.Abstract:
This paper is concerned with the guaranteed cost control problem for a class of Markov jump discrete-time neural networks (NNs) with event-triggered mechanism, asynchronous jumping, and fading channels. The Markov jump NNs are introduced to be close to reality, where the modes of the NNs and guaranteed cost controller are determined by two mutually independent Markov chains. The asynchronous phenomenon is considered, which increases the difficulty of designing required mode-dependent controller. The event-triggered mechanism is designed by comparing the relative measurement error with the last triggered state at the process of data transmission, which is used to eliminate dispensable transmission and reduce the networked energy consumption. In addition, the signal fading is considered for the effect of signal reflection and shadow in wireless networks, which is modeled by the novel Rice fading models. Some novel sufficient conditions are obtained to guarantee that the closed-loop system reaches a specified cost value under the designed jumping state feedback control law in terms of linear matrix inequalities. Finally, some simulation results are provided to illustrate the effectiveness of the proposed method.read more
Citations
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Journal ArticleDOI
Robust cooperative output regulation of multi-agent systems via adaptive event-triggered control
TL;DR: This paper investigates the robust cooperative output regulation problem of uncertain linear multi-agent systems with additive disturbances via the celebrated internal model principle with two novel distributed controllers based on the adaptive control strategy and the event-triggered transmission scheme.
Journal ArticleDOI
Adaptive Synchronization of Reaction–Diffusion Neural Networks and Its Application to Secure Communication
TL;DR: The role of system parameters is picturized through the chaotic nature of RDNNs and those unprecedented solutions is utilized to promote better security of image transactions and the global asymptotic synchronization of the error model is guaranteed.
Journal ArticleDOI
Fuzzy Adaptive Distributed Event-Triggered Consensus Control of Uncertain Nonlinear Multiagent Systems
TL;DR: A novel distributed adaptive event-trigger condition and event-triggered controller are designed simultaneously and the main advantage with respect to event-sampling states is that the controllers were updated in an aperiodic manner at the event sampled instants, saving the computation resource and transmission load.
Journal ArticleDOI
Asynchronous and Resilient Filtering for Markovian Jump Neural Networks Subject to Extended Dissipativity
TL;DR: The problem of asynchronous and resilient filtering for discrete-time Markov jump neural networks subject to extended dissipativity is investigated and the gains of filter are derived to guarantee the stochastic stability and extended dissipative of the filtering error system under the wave of the filter parameters.
Journal ArticleDOI
Distributed $H_\infty$ State Estimation for a Class of Filtering Networks With Time-Varying Switching Topologies and Packet Losses
TL;DR: Some novel sufficient conditions are obtained for ensuring the exponential stability in mean square and the switching topology-dependent filters are derived such that an optimal disturbance rejection attenuation level can be guaranteed for the estimation disagreement of the filtering network.
References
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TL;DR: The purpose of this paper is to provide a comprehensive review of the research on stability of continuous-time recurrent Neural networks, including Hopfield neural networks, Cohen-Grossberg neural networks and related models.
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Observer-Based Output Feedback Event-Triggered Control for Consensus of Multi-Agent Systems
TL;DR: Two novel observer-based event-triggered control schemes, one centralized and the other distributed, are developed and it is shown that under the proposed control protocols, consensus can be reached if the underlying communication graph of the MAS is connected.
Journal ArticleDOI
Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links
TL;DR: The aim of this paper is to contribute with a Markov switching estimator design method, which ensures that the resulting error system is extended stochastically dissipative, in the simultaneous presences of packet dropouts and signal quantization stemmed from unreliable communication links.
Journal ArticleDOI
Observer-Based Fault Detection for Nonlinear Systems With Sensor Fault and Limited Communication Capacity
TL;DR: A new fault detection design scheme is proposed for interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems with sensor fault based on a novel fuzzy observer to verify the effectiveness of the presented scheme.