This article proposes an adaptive neural-network command-filtered tracking control scheme
of nonlinear systems with multiple actuator constraints. An equivalent transformation method …

This article aims to present a barrier function based adaptive sliding mode (BFASM) control
scheme for a class of uncertain nonlinear systems with actuator saturation. In conventional …

If high-speed trains move under a moving block signaling (MBS) system, it is a quite
challengeable and significant issue to cooperate the multiple high-speed trains, such that …

In this paper, we address the issue of the prescribed performance control of a class of pure-
feedback nonlinear systems with uncertainties and input saturation. The active disturbance …

In this paper, a singularity-free adaptive fuzzy backstep** control (AFBC) scheme is
presented for uncertain nonlinear SISO systems with triangular structure by using dynamic …

This paper focuses on dynamic learning from neural control for a class of nonlinear strict-
feedback systems with predefined tracking performance attributes. To reduce the number of …

Emerging communication-based train control techniques are a critical foundation for
automatic or semiautomatic train operation for guaranteed safety, line utilization, operation …

Thanks to the superiority of fractional differential equations in modeling high technology
dynamical real world systems, the design and control of fractional-order systems have been …

Based on ACP (artificial systems, computational experiments, and parallel execution)
methodology, parallel control and management has become a popularly systematic and …

This paper presents a control design for a robotic manipulator with uncertainties in both
actuator dynamics and manipulator dynamics subject to asymmetric time-varying joint space …