An active adaptive continuous nonsingular terminal sliding mode algorithm (ACNTSM) is
designed for hypersonic boost glide vehicle to achieve higher control accuracy and faster …

智能制造的应用场景趋于多样化, 对人机共融的协作机器人的性能要求日益严格,
智能机器人与人的协作越来越密切, 融合的场景越来越多. 在人机共融的环境下 …

To improve the transient response, accuracy and robustness of trajectory tracking control for
cable-driven continuum robots (CDCRs), a recursive integral terminal sliding mode control …

Parallel robot systems are increasingly important and widely applied due to their superior
advantages such as high speed and accuracy. To improve the accuracy of these systems …

This article addresses the problem of distributed joint estimation for a class of discrete‐time
time‐varying systems subject to random nonlinearities and unknown inputs over sensor …

This research aims to design a robust adaptive tracking controller for Chua's switched
nonlinear circuit systems. The proposed adaptive composite nonlinear approach is modified …

In this paper, a varying-parameter complementary neural network (VPCNN) is designed and
combined with model predictive control (MPC) to solve the multi-robot tracking and formation …

Hypersonic vehicles exhibit significantly varied dynamic characteristics across different flight
regimes. These characteristics, such as model uncertainties and actuator saturation levels …

The underlying circuit control is a key problem of the hybrid energy-storage system (HESS)
in electric vehicles (EV). In this paper, a composite non-linear control strategy (CNC) is …

Conventional controllers for nonlinear systems often suffer from co-existences of non-
linearity and uncertainty. This paper proposes a novel brain emotional neural network to …