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Tensor Product Model Transformation Based Adaptive Integral-Sliding Mode Controller: Equivalent Control Method
Published 2013-01-01“…This paper proposes new methodologies for the design of adaptive integral-sliding mode control. A tensor product model transformation based adaptive integral-sliding mode control law with respect to uncertainties and perturbations is studied, while upper bounds on the perturbations and uncertainties are assumed to be unknown. …”
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Research on double sliding mode adaptive nonlinear control systems based on the U-model
Published 2025-07-01“…A double sliding mode adaptive nonlinear control system based on the U-model, the adaptive double sliding mode controller (DSMC) acts as a robust dynamic inverter (DI) to offset the nonlinearity and dynamics of the controlled object. …”
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Fuzzy Method-Based Sliding Mode Control for AUVs
Published 2025-06-01Subjects: Get full text
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Experimental Validation of Adaptive Sliding Mode Fuzzy Controller for an Inertially Stabilized Platform
Published 2023-12-01“…Despite the existence of uncertainties in dynamic system modeling, the outcomes of the implementation of the control algorithm and experimental tests indicated that the adaptive fuzzy sliding mode algorithm stabilized the line of sight with acceptable accuracy and improved its performance .…”
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Optimal Adaptive Control and Backstepping Control Method with Sliding Mode Differentiator
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Model reference adaptive system and pseudo-sliding mode control with exponential reaching law for sensorless-speed control of PMSM.
Published 2025-01-01“…This technique integrates the model reference adaptive system (MRAS) and pseudo-sliding mode control with an Approach Reaching Law (ARL). …”
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Piecewise Adaptive Sliding Mode Control for Aeroengine Networked Control Systems with Resource Constraints
Published 2019-01-01“…The proposed piecewise adaptive sliding mode controller has good dynamic performance and is robust to the packet dropout problem caused by network scheduling and can effectively suppress chattering.…”
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Adaptive Backstepping Sliding Mode Control of Trajectory Tracking for Robotic Manipulators
Published 2020-01-01“…Although parameters identification and adaptive estimate method were proposed for robotic control in many literature studies, the essential factors, such as coupling and friction, are rarely mentioned as it is difficult to build the precise dynamic model of the robotic manipulator. …”
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Adaptive Backstepping Sliding Mode Control of Air-Breathing Hypersonic Vehicles
Published 2020-01-01“…In this paper, a controller combining backstepping and adaptive supertwisting sliding mode control method is proposed for altitude and velocity tracking control of air-breathing hypersonic vehicles (AHVs). …”
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Adaptive Twisting Sliding Control for Integrated Attack UAV’s Autopilot and Guidance
Published 2025-01-01“…This paper investigates an adaptive sliding-mode control for an integrated UAV autopilot and guidance system. …”
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Indirect sliding mode adaptive fractional order nonlinear observer based controller with fractional order single-ended primary inductor converter
Published 2025-09-01“…When ITAE values are compared, the adaptive fractional-order sliding mode control (AFOSMC) with the fractional-order model (FOM), the integer-order sliding mode control (IOSMC) with FOM, and integer-order sliding mode control(IOSMC) with the integer-order model (IOM) achieve ITAE values of 0.09151, 0.1847, and 0.2532, respectively. …”
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Adaptive regulation of a non inverting buck boost converter with Levenberg Marquardt based sliding mode predictive control scheme
Published 2025-08-01Subjects: “…Adaptive control…”
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An Adaptive Neural Network Fuzzy Sliding Mode Controller for Tracking Control of Deep-Sea Mining Vehicles
Published 2025-05-01“…The algorithm, named the Adaptive Radial Basis Function Neural Network Fuzzy Sliding Mode Controller (ARFSMC), replaces modeled vehicle dynamics with a radial basis function neural network (RBFNN). …”
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Adaptive Trajectory Tracking Control for Rotorcraft Using Incremental Backstepping Sliding Mode Control Strategy
Published 2021-01-01“…This paper investigates the adaptive incremental backstepping sliding mode control for the rotorcraft trajectory-tracking control problem to enhance the robustness to the matched uncertainty in the model. …”
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Speed–Pressure Compound Control of Thrust System Based on the Adaptive Sliding Mode Control Strategy
Published 2025-03-01“…Therefore, to realize higher safety and precise trajectory tracking, it is necessary to ensure speed and pressure compound control for thrust systems. This paper proposes a novel adaptive sliding mode control (ASMC) strategy for thrust systems, which is composed of a proportional pressure relief valve (PPRV) and a proportional flow control valve (PFCV). …”
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Model-Free Adaptive Sliding Mode Robust Control with Neural Network Estimator for the Multi-Degree-of-Freedom Robotic Exoskeleton
Published 2020-01-01“…Finally, real-time experimental results show that the control scheme proposed in this paper achieves better control performances with good robustness with respect to system uncertainties and external wind disturbances compared with the model-free adaptive control scheme and model-free sliding mode adaptive control scheme.…”
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Second-order sliding mode optimization control of an inverted pendulum system based on fuzzy adaptive technology
Published 2024-12-01“…In the case of unknown external disturbance, the mathematical modeling and force analysis of the first order inverted pendulum system are carried out, and the design problem of the fuzzy adaptive second-order sliding mode controller with output restriction is studied.Results and DiscussionThe proposed fuzzy adaptive second-order sliding mode controller has a good control effect in the inverted pendulum system. …”
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Integrated sliding mode control of robot manipulator based on fuzzy adaptive RBF
Published 2024-12-01“…Secondly, the approximations of the uncertain variables of the dynamical model are accomplished by using the three sets of RBF neural networks and introducing an adaptive mechanism for online self-tuning of weights, the approximation errors of the RBF neural networks are compensated by using the sliding-mode control term designed in the previous section. …”
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Adaptive Sliding Mode Control of MEMS Gyroscope Based on Neural Network Approximation
Published 2014-01-01“…Neural controller is proposed to approximate the unknown system model and sliding controller is employed to eliminate the approximation error and attenuate the model uncertainties and external disturbances. …”
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