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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Dissipative Estimating for Nonlinear Markov Systems With Protocol-Based Deception Attacks and Measurement

Yuyan Wu, Huaicheng Yan, Meng Wang

    IEEE Transactions on Cybernetics
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    Summary
    This summary is machine-generated.

    This study designs an asynchronous estimator for interval type-2 fuzzy Markov jump systems facing dynamic quantization and deception attacks. The research introduces novel attack strategies and ensures system performance using Lyapunov stability theory.

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    Area of Science:

    • Control Systems Engineering
    • Fuzzy Logic Systems
    • Stochastic Systems

    Background:

    • Interval Type-2 (IT2) fuzzy systems are crucial for modeling uncertainties.
    • Markov Jump Systems (MJS) describe systems with abrupt changes.
    • Quantization and deception attacks pose significant challenges to system estimation.

    Purpose of the Study:

    • To design an asynchronous estimator for IT2 fuzzy MJS under dynamic quantization and deception attacks.
    • To develop a novel protocol-based deception attack strategy.
    • To ensure the strictly-dissipative performance of the estimation error.

    Main Methods:

    • Utilizing a hidden Markov model (HMM) for system mode observation.
    • Applying Lyapunov stability theory and linear matrix inequality (LMI) methods.
    • Designing independent attack strategies for different sensors to conserve adversary energy.

    Main Results:

    • Sufficient conditions derived to guarantee strictly-dissipative performance of the estimation error.
    • A novel deception attack strategy is proposed, leveraging quantized output information.
    • The efficacy of the designed estimator and the advantage of proposed attack tactics are confirmed through examples.

    Conclusions:

    • The proposed asynchronous estimator effectively handles IT2 fuzzy MJS under dynamic quantization and deception attacks.
    • The novel attack strategy demonstrates a sophisticated approach to exploiting system vulnerabilities.
    • The study provides a robust framework for analyzing and securing complex dynamical systems.