Results 281 to 290 of about 649,170 (367)

Neuro‐Observer Based Adaptive Fixed‐Time Fault‐Tolerant Control for Uncertain Teleoperation System With Input Saturation and Asymmetric Time‐Varying Output Constraints

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The issue of master‐slave synchronization tracking control for uncertain teleoperation systems with input saturation and asymmetric time‐varying output constraints under actuator failure is investigated. Firstly, a neural network‐based nonlinear disturbance observer is designed to mitigate the negative impact of the compound uncertainty ...
Longnan Li   +3 more
wiley   +1 more source

Fixed‐Time Adaptive Neural Control for Physical Human–Robot Collaboration With Time‐Varying Workspace Constraints

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Effective physical human–robot collaboration (pHRC) requires strict safety guarantees since robots coordinate with human actions in a shared workspace. Moreover, compliance is essential, enabling robots to adjust their stiffness and behavior in response to human interaction forces. This paper presents a novel fixed‐time adaptive neural control
Yuzhu Sun   +6 more
wiley   +1 more source

Safe Continual Learning in Model Predictive Control With Prescribed Bounds on the Tracking Error

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT We develop a three‐component Model Predictive Control (MPC) algorithm to achieve output‐reference tracking with prescribed performance for continuous‐time nonlinear systems. One component is the so‐called funnel MPC, which achieves reference tracking with prescribed performance for the model output for suitable models.
Lukas Lanza   +3 more
wiley   +1 more source

Nonfragile Sliding Mode Control of Fractional‐Order Complex Networked Systems via Combination Event‐Triggered Approach

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This work addresses the problem of developing a nonfragile sliding mode observer for fractional‐order complex networked systems (FO‐CNS) under stochastic network attacks. The proposed approach employs a combination of event‐triggered techniques. First, a nonfragile fractional‐order state observer is developed, enabling the design of a suitable
Xin Meng   +2 more
wiley   +1 more source

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