Self‐triggered adaptive prescribed‐time tracking control for stochastic nonlinear systems

Abstract

Summary This paper proposes a self‐triggered (ST) adaptive prescribed‐time tracking control method for a class of stochastic nonlinear systems. Different from the existing results, an improved ST mechanism is proposed by adding a judgment condition to reduce the negative effect of excessive design interval on system performance. Based on the one‐to‐one mapping and backstepping technique, an adaptive prescribed‐time tracking control method is proposed, which can make the error converge to the predefined precision set within the predetermined time. Simultaneously, applying the Lyapunov stability method, the boundedness of all signals in the closed‐loop system can be ensured. Finally, a detailed simulation example is provided to show the effectiveness of the proposed control strategy.

Full event‐triggering adaptive control considering time‐varying constraints for nonholonomic tractor‐trailer system

“…Event-triggered control has been widely concerned in recent literatures. [23][24][25] It is a scheme that effectively alleviates the resource occupation on the basis of ensuring the closed loop performance, and has achieved many results. 26 An event can be a change in sensor readings that exceeds a threshold, or a data packet in the network control reaches a certain node.…”

“…Therefore, it is necessary for agricultural vehicles to design a reasonable communication mechanism using network resources effectively. Event‐triggered control has been widely concerned in recent literatures 23–25 . It is a scheme that effectively alleviates the resource occupation on the basis of ensuring the closed loop performance, and has achieved many results 26 .…”