A novel adaptive control scheme is presented for a class of non-affine nonlinear systems with function possibly being discontinuous. discontinuous condition present to guarantee the controllability system. The modelled appropriately by using piecewise functions. Based on Lyapunov analysis method, basic idea invariant set theory constructively introduced prove boundedness all signals in closed-loop Finally, simulation example provided demonstrate effectiveness proposed approach.

In the process of ultralow altitude airdrop, many factors such as actuator input dead-zone, backlash, uncertain external atmospheric disturbance, and model unknown nonlinearity affect precision trajectory tracking. response, a robust adaptive neural network dynamic surface controller is developed. As result, aircraft longitudinal dynamics with derived; nonlinear functions are approximated by means RBF network. Also, an adaption strategy used to achieve robustness against uncertainties....

This paper is concerned with the problem of multi-UAV roundup inspired by hierarchical cognition consistency learning based on an interaction mechanism. First, a dynamic communication model constructed to address interactions among multiple agents. includes simplification graph relationships and quantification information efficiency. Then, method proposed improve efficiency success rate roundup. At same time, opponent reasoning network prediction targets. Compared existing multi-agent...

Previous studies on the synchronization behaviors of neuronal networks were constructed by integer-order models. In contrast, this paper proposes that above topics symmetrical are fractional-order Hindmarsh–Rose (HR) models under electromagnetic radiation. They then investigated numerically. From research results, several novel phenomena and conclusions can be drawn. First, for two coupled models, degree is influenced q feedback gain parameter k1. addition, or k1 induce transitions bursting...

A adaptive recursive sliding mode Dynamic Surface Control (DSC) method is proposed for hypersonic vehicle. Based on the vehicle model characteristics, DSC attitude controller and neural networks dynamic inversion velocity are designed, respectively. Via designing surface, tracking error in preceding step considered into next control law so that design synthesizes interaction of each subsystem. By this way, problem being fragile to perturbation filter time constant solved efficiently. Neural...

It is important to investigate the firing activities of neurons, and previous experimental works have shown that fractional‐order neuronal models depict rate neurons more verifiably. In this study, a modified Hindmarsh–Rose model proposed, dynamics are investigated. Some novel phenomenon can be found. First, by analyzing numerically theoretically, Hopf bifurcation found occur when external direct current stimulus chosen appropriately. The effects on also studied. Second, injecting stimulus,...

Predicting the flight trajectory of target fighter as accurately possible to capture fleeting time attack is crucial for close-range air combat, so research has always been a focus in related fields. Without exception, it hard other prediction problems due large degree freedom solution space. All previous methods only used correlation single data predict and ignored spatial between both sides. Therefore, not traditional machine learning but current popular deep have less accurate predictions...

To improve the security features of chaotic communication system, this paper presents a method to generate frequency-hopping(FH) sequence based on Clifford map and queuing theory in order increase linear complication FH sequences boost up anti-prediction. It also analyzes balance, distance maximum Hamming correlation use them for numberic simulation. The simulation experiments result shows that analysis is accordance with experiment result. Comparing single low combined map, have more...

By means of active-disturbances-rejection-controller (ADRC) based on compensation dynamic inversion, a new scheme is proposed to design super-maneuverable flight controller. Firstly, the natural dynamics aircraft cancelled out some extent by using known information model, and then applying ADRC in fast slow variables system compensate model disturbances uncertainty, realizes decoupling control state variables. Not needing accurate controlled object, designed directly high degree nonlinearity...

Abstract Different from the previous researches on synchronization and transition of neuronal networks constructed by integer-order models, fractional-order network are investigated in this paper. The ring HindmarshRose (HR) models without electromagnetic radiation proposed, it’s behaviors numerically. two coupled under studied By research results, several novel phenomena conclusions can be drawn. First, for HR model’s radiation, if q is changed, threshold coupling strength when perfect will...