Kaixin Lu

TL;DR: It is proved that the proposed controller achieves a perfect asymptotic consensus performance and a tunable $L_{2}$ transient performance of synchronization errors, whereas most existing results can only ensure the stability.

TL;DR: In this paper, a second-order filter is proposed to overcome the design conflict between the quantized networked control signal and the rate-dependent hysteresis characteristics, and a novel adaptive control strategy is developed from a neural network technique and a modified backstepping recursive design.

TL;DR: A fixed-time adaptive fuzzy control scheme is newly proposed with the discoveries of a singularity-avoidance virtual control design, a modified class of tuning functions, and a projection operator based adaptation mechanism.

TL;DR: This work proposes a new fuzzy control strategy that is performance-oriented in the sense that the relationship between the design parameters and tracking performance is established in an explicit way, which allows the users to make design decisions accordingly.

TL;DR: This paper investigates the output tracking problem for uncertain nonlinear systems in the presence of actuator dead-zone nonlinearity with piecewise time-varying parameters and establishes that in addition to the system stability, a better quantification of the system performance is achieved.