In this article, the problem of event-triggered (ET) adaptive finite-time tracking control is investigated for full-state constrained stochastic nonlinear systems with unknown …
This paper proposes an innovative adaptive event-triggered control strategy for a class of state time-delays nonlinear multi-agent systems (MASs) with full state constraints. …
An adaptive tracking control scheme based on a multi-dimensional Taylor network(MTN) is proposed for nonlinear systems with multiple sensor faults and actuator saturation. This …
In this paper, we present a new scheme to design an adaptive neural backstepping tracking controller for a class of stochastic nonlinear systems with unknown input constraints …
This paper presents a practical predefined time control approach for nonlinear multi-agent systems with input saturation. A novel predefined time command filter, constructed using …
This paper considers the event-triggered adaptive fault-tolerant control (FTC) problem fora class of stochastic nonlinear systems suffering from finite number of actuator failures …
This paper studies the finite-time control problem of a class of switched non-linear systems under time-varying state constraints and proposes an adaptive finite-time controller …
This paper proposes a novel event‐triggered adaptive asymptotic tracking control (ATC) method for stochastic non‐linear systems with unknown hysteresis. Firstly, in order to reduce …
This paper presents a referential adaptive asymptotic tracking control scheme for nonlinear multi-input and multi-output (MIMO) systems with time-varying full-state constraints and …
For nonlinear systems with asymmetric input saturation, an adaptive fixed-time control strategy via multidimensional Taylor network (MTN) is proposed to effectively solve the …