Robust Design of Two-Level Non-Integer SMC Based on Deep Soft Actor-Critic for Synchronization of Chaotic Fractional Order Memristive Neural Networks

Fractal and Fractional, Год журнала: 2024, Номер 8(9), С. 548 - 548

Опубликована: Сен. 20, 2024

In this study, a model-free PIφ-sliding mode control ( PIφ-SMC) methodology is proposed to synchronize specific class of chaotic fractional-order memristive neural network systems (FOMNNSs) with delays and input saturation. The Lyapunov stability theory used design two-level PIφ-SMC which can effectively manage the inherent behavior delayed FOMNNSs achieve finite-time synchronization. At outset, an initial sliding surface introduced. Subsequently, robust designed as second surface, based on proportional–integral (PI) rules. asymptotic both surfaces demonstrated. final step involves dynamic-free law that against system uncertainties, saturations, delays. independence rules from functions accomplished through application norm-boundedness property in states. soft actor-critic (SAC) algorithm deep Q-Learning utilized optimally adjust coefficients embedded controller’s structure. By maximizing reward signal, optimal policy found by SAC agent. This approach ensures motion meets reachability condition within finite time. validity protocol subsequently demonstrated extensive simulation results two numerical examples.

Язык: Английский

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Composite Learning From Fractional-Order Fuzzy Echo State Network Control Using Historical Data

IEEE Transactions on Network Science and Engineering, Год журнала: 2024, Номер 11(5), С. 4564 - 4576

Опубликована: Май 29, 2024

Considering the infinite memory property of fractional differential equations, and combining advantages fuzzy logic systems reservoir computing echo state networks, a fractional-order network is proposed for estimating uncertain terms nonlinear systems. In order to improve its learning performance reduce response oscillations, modified output weight law constructed by recording historical data over period time in regression matrix both iterative domains, which prediction error defined without using strict condition, i.e., interval excitation. Furthermore, leveraging Lyapunov stability theory frequency distribution model, suitable integral energy functions are formulated based on backstepping framework, proving that composite control scheme can maintain boundedness all signals within closed-loop system. Finally, Chua-Hartleys chaotic system single-machine-infinite- bus power adopted simulation validate validity scheme.

Язык: Английский

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Uniformly Continuous Generalized Sliding Mode Control

Mathematics, Год журнала: 2024, Номер 12(16), С. 2536 - 2536

Опубликована: Авг. 16, 2024

This paper explores a general class of singular kernels with the objective designing new families uniformly continuous sliding mode controllers. The proposed controller results from filtering discontinuous switching function by means Sonine integral, producing control signal, preserving finite-time motion and robustness against but unknown not necessarily integer-order differentiable disturbances. principle dynamic memory resetting is considered to demonstrate stability. A set sufficient conditions design kernels, above characteristics, presented, several examples are exposed propose approaches. Simulation studied illustrate feasibility some schemes.

Язык: Английский

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Finite-time adaptive control based on output feedback and auxiliary variables for time-varying parameters and disturbances

Journal of the Franklin Institute, Год журнала: 2024, Номер unknown, С. 107273 - 107273

Опубликована: Сен. 1, 2024

Язык: Английский

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Data-driven discrete learning sliding mode control for overhead cranes suffering from disturbances

Nonlinear Dynamics, Год журнала: 2024, Номер unknown

Опубликована: Окт. 6, 2024

Язык: Английский

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Low-complexity tracking control of hydraulic excavator systems with asymmetric full-state constraints

Journal of the Franklin Institute, Год журнала: 2024, Номер unknown, С. 107345 - 107345

Опубликована: Окт. 1, 2024

Язык: Английский

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Exponential stability of fractional-order asynchronous switched impulsive systems with time delay and mode-dependent parameter uncertainty

Journal of the Franklin Institute, Год журнала: 2024, Номер unknown, С. 107406 - 107406

Опубликована: Ноя. 1, 2024

Язык: Английский

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Finite-time fractional-order sliding mode force control with time delay estimation and RBFNN compensation: Design and application to cell microinjection

Journal of the Franklin Institute, Год журнала: 2024, Номер unknown, С. 107470 - 107470

Опубликована: Дек. 1, 2024

Язык: Английский

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