Compared with most existing results concerning unmanned aerial vehicles (UAVs) wherein two-degree or only attitude/longitudinal dynamics are considered, this paper proposes an event-based fault-tolerant coordinated control (FTC) for multiple fixed-wing UAVs such that the consensus tracking of velocity and attitude is achieved in presence actuator faults, external disturbances modeling uncertain...

In this paper, a backstepping sampled data control method is developed for flexible robotic manipulator whose internal dynamic completely unknown. To address the uncertainties, fuzzy logical system (FLS) considered. Moreover, considering limited network bandwidth, designed controller and adaptive laws only contain with fixed period. By invoking Lyapunov stability theory, all signals of are semi...

In this paper, global uniform exponential stability of perturbed dynamical systems is studied by using Lyapunov techniques. The system presents a perturbation term which is bounded by an integrable function with the assumption that the nominal system is globally uniformly exponentially stable. Some examples in dimensional two are given to illustrate the applicability of the main results.

in this paper, the problem of decentralized model reference adaptive control (mrac) for a class of large scale systems with time varying delay in interconnected term and input and state delays is studied. to compensate the effect of input delay indirectly, a smith predictor built on. to handle the effects of the time delays in input, the adaptive controller part includes two auxiliary dynamic f...

This paper addresses the distributed optimal decoupling synchronous control of multiple autonomous unmanned linear systems (MAUS) subject to complex network dynamic coupling. The leader–follower mechanism based on neighborhood error dynamics is established and coupling term regarded as external disturbance realize cooperative each agent. Bounded L2-Gain problem for formulated into a multi-playe...

Reinforcement learning (RL) is promising for complicated stochastic nonlinear control problems. Without using a mathematical model, an optimal controller can be learned from data evaluated by certain performance criteria through trial-and-error. However, the data-based approach notorious not guaranteeing stability, which most fundamental property any system. In this paper, classic Lyapunov’s me...

This paper presents a neural network adaptive controller for diving control of an autonomous underwater vehicle (AUV). In general, while deriving the diving equations of an AUV, the pitch angle of the vehicle is often assumed to be small in the diving motion. This is a somewhat strong restricting condition in many practical applications, and would be broken in this paper. Furthermore, because t...