In this paper, a framework of adaptive control for switched nonlinear system with multiple prescribed performance bounds is established using an improved dwell time technique. Since the subsystems are different from each other, coordinate transformations have to be tackled when transformed, which not been encountered in some systems. We deal by finding specific relationship between any two transformations. To obtain much less conservative result, contrast common law, laws both active and...

In this paper, a novel adaptive fuzzy tracking control strategy is developed for nonlinear time-varying delayed systems with full state constraints. State constraints and time delays are normally found in various real-life plants, which two important factors degrading system performance significantly. the framework of control, effects removed simultaneously. The integral Barrier Lyapunov functionals (IBLFs) applied to achieve full-state-constraint satisfactions remove need transformed error...

This article studies the adaptive control about geodetic fixed positions and heading of three-degree-of-freedom dual-propeller vessel. During navigation a vessel at sea, due to unpredictable on one hand, it is important ensure that can smoothly follow desired geodesic position heading; other when sailing environment harsh, even more adapt change any time for safe driving. Therefore, this selects time-varying function related as constraint condition, condition will in real expected change....

This article proposes an adaptive fuzzy controller for a class of uncertain strict-feedback nonmatching nonlinear single-input single-output systems with dead zone and full time-varying state constraints. The states considered here are immeasurable the constrained in bounded set regions. Following backstepping design framework, tangent barrier Lyapunov functions introduced to integrated address problems such systems. Fuzzy logic used identify unknown smooth parameters. An input-driven...

In this article, an adaptive tracking control problem is addressed for nonstrict-feedback stochastic nonlinear systems subject to state constraints. Fuzzy logic (FLSs) are used model unknown nonlinearities and avoid the algebraic loop arising from system structure. Appropriate integral Barrier Lyapunov functions (IBLFs) chosen so that time-varying full constraints can be guaranteed directly rather than by transforming constraint object. framework of backstepping technology, relative...

In this article, the problems of state-triggered sampling and self-triggered tracking control for nonlinear systems with constraints are studied. First, fuzzy observer is designed unknown state. presence error, cooperative design constraint controller a key problem to be solved. The median value theorem provides help solve an asymmetric state-triggering strategy presented. addition, it proved that closed-loop signals input-to-state stable, error bounded. Then, general scheme order compare...

In this article, a fuzzy adaptive output feedback control strategy is designed for class of uncertain nonlinear switched system with full state constraints under arbitrary switching signal. The states the studied in article are unmeasurable, so observer to estimate unmeasurable states. At same time, order ensure that do not violate related desired and states, log-type barrier Lyapunov function method selected solve constraint problem. Finally, through stability theory analysis, it found can...

Disturbance-Free-Payload is a novel spacecraft architecture proposed to achieve perfect vibration isolation performance of space applications. In this paper, the object under study DFP system in which flexible umbilical connection between support module (SM) and payload (PM) introduced for data, power fluid transfer. Bead model accounting properties mass flexibility, utilized umbilical. With incorporation bead model, six degree-of-freedom multibody rigid-flexible dynamics established via...

An optimal tracking control system using neural adaptive techniques is introduced for nonlinear systems subjected to time delay and inequality constraints, which partially uncertain. The constraints partial uncertain of the state are considered in discrete-time system. By transforming constraint information into augmented variables, precompensator method, an augmentation that contains transformed controller obtained. Lyapunov–Krasovskii functionals (LKFs) can be used deal with delay....

For nonlinear systems with uncertain state time delays, an adaptive neural optimal tracking control method based on finite is designed. With the help of appropriate LKFs, time-delay problem handled. A novel nonquadratic Hamilton-Jacobi-Bellman (HJB) function defined, where selected as upper limit integration. This contains information delay, while also maintaining basic information. To meet specific requirements, integral reinforcement learning employed to solve ideal HJB function. Then, a...

<title>Abstract</title> This paper presents a real-time obstacle perception method (ROPM) for unmanned aerial vehicles (UAVs) with an RGB-D camera, which aims to address the difficulty of perceiving obstacles in UAVs low-light environments. First all, novel detector is designed based on ensemble detection strategy rapidly detect dynamic and static Moreover, new tracker constructed Kernel Correlation Filter (KCF), uses results obtain features regression matching. At same time,...

In this article, the problem of full state constraints for a class uncertain nonlinear switched systems with time-varying delays under average dwell time is studied, and an adaptive event-triggered mechanism proposed. The Lyapunov–Krasovskii function (LKF) employed to solve trouble caused by delays, neural networks are selected approximate terms in system, constraint solved constructing tan barrier Lyapunov (Tan-BLF). What's more, boundaries considered article can be expressed as functions...

This paper develops an adaptive output feedback control for a class of functional constraint systems with unmeasurable states and unknown dead zone input. The is series functions closely linked to state variables time, which not achieved in current research results more general practical systems. Furthermore, fuzzy approximator based backstepping algorithm designed observer time-varying constraints (TFC) constructed estimate the system. Relying on relevant knowledge slopes, issue non-smooth...

An adaptive neural network fault-tolerant control(FTC) scheme is proposed for nonlinear and nonstrict-feedback multi-agent systems (MASs) with directed fixed topology. Firstly, a disturbance observer designed to estimate the unknown external disturbances in systems, realise dynamic estimation of disturbances. Secondly, efficiency factor estimated online, then FTC successfully under backstepping framework. It proved that all signals closed-loop are semi-globally uniformly bounded tracking...

Magnetic rotary encoder can be used to detect the rotor position of PMSM, in order realize vector control PMSM. An initial positioning method on magnetic based open loop system was presented calculate absolute difference average through setting Rotor angle multi point.Experimental results show that simple and suitable measure exactly easily.