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In this paper, on the basis of sliding mode control theory, a new integral tangent adaptive fuzzy sliding mode control for aircraft engine was proposed. Based on the uncertainty model of aircraft engine, a hyperbolic tangent integral sliding surface was constructed at first, and it effectively overcome the problem of integral saturation effect which was often occur in the traditional integral sliding...
This paper considers the global adaptive stabilization via output-feedback for a class of uncertain planar nonlinear systems. Different from the existing related literature, the systems under investigation are subjected to unknown control directions, and simultaneously allow linear unmeasured states dependent growth. To solve the problem, an adaptive output-feedback scheme is proposed, not only to...
In this paper, the non-fragile finite-time tracking control problem is addressed for a class of uncertain linear systems with controller multiplicative coefficient variations. An adaptive control strategy is constructed to ensure that the system tracks a time-varying target orbit. The relationship of the bound of tracking errors and the size of uncertainties and controller multiplicative coefficient...
This paper proposes a novel adaptive sliding mode observer to improve the performance of sensorless control of permanent magnet synchronous motor (PMSM) in the More Electric Aircraft (MEA) system. An adaptive sliding mode observer base on adaptively tuning the observer gain is investigated to relax the requirement for the bound of load uncertainties and strengthen the anti-interference ability. System...
In this paper an adaptive sliding mode control (SMC) law with self-regulated boundary layer is proposed. The design of the adaptive SMC considers practical issues as actuator limitation/saturation and error tolerance, which is given in terms of the boundary layer presented in real sliding mode. The existence of sliding motion is proved via Lyapunov analysis. Self-regulation to the best value of boundary...
Conventional sliding mode control (SMC) is so-called robust to the system uncertainty and the external disturbance, however, it requires the knowledge about the upper bound of uncertainties and external disturbances. In the practical system, uncertainties and external disturbances are often unknown. A adaptive backstepping sliding mode controller (ABSMC) is proposed to deal with the uncertainty in...
This paper presents an adaptive nonsingular terminal sliding mode formation control by means of output recurrent fuzzy wavelet neural networks for a group of networked heterogeneous Mecanum-wheeled omnidirectional robots with uncertainties. The dynamic behavior of each uncertain heterogeneous omnidirectional robot is modelled by a reduced three-input-three-output second-order state equation with uncertainties...
Quadrotors, like any dynamical system, are subjected to model uncertainties which may cause instability and inaccuracy in navigation. In addition, the presence of input constraints violates the affine property which, as a result, adds additional challenges and complicates designing the control system for quadrotors. In this paper, an adaptive nonlinear control algorithm is designed to overcome these...
Consensus based distributed robust adaptive finite-time secondary voltage control is designed for inverter-based islanded AC microgrids. The design combines decentralized local states information with the states of the neighboring distributed generators with directed communication topology. Robust control algorithms are used locally for each distributed generator to deal with uncertainty. Lyapunov...
The design of adaptive sliding mode control is studied for a class of Markov jump systems(MJSs) with transition rate uncertainties and the partial failures of the actuators. Firstly, the mathematical model of MJSs with the uncertainty of the transition rate and the partial failure of the actuator is established. Secondly, the sliding surface is proposed by combining linear matrix inequality (LMI)...
A novel actuator fault reconstruction scheme based on neural network and adaptive sliding mode observer is presented for a class of nonlinear systems with uncertainty. To improve the accuracy of actuator fault reconstruction, the radial basis function neural network is applied to approximate the uncertainty on line. An adaptive algorithm is designed to modify the gain of the controller by considering...
In this paper, a composite integral terminal sliding mode surface is developed, and an adaptive synchronization control scheme is proposed accordingly for multiple robotic manipulators with actuator saturation. By combining the terminal sliding mode with integral terms, the presented scheme is able to reduce the static tracking errors and improve the synchronization performance. Moreover, the system...
The model-based event-triggered strategies have been developed as an alternate for Zero-Order-Hold (ZOH)- based event triggered scheme in continuous-time for multi-agent systems (MAS). However, traditional event-triggered schemes need the knowledge of system dynamics whereas model-based schemes are sensitive to model uncertainties. Therefore, in this paper, a novel distributed robust event-triggered...
Innovation Project Management has gained a lot of attention in the recent years given its complexity and the challenging questions innovation projects pose to traditional project management. Literature shows high rates of failure, for numerous reasons, when it comes to innovation projects, among which are the project management approach and the inability to tackle the complexity and uncertainty connected...
This paper addresses the unmanned helicopter attitude control problem in the presence of inaccurate measurement of inertia parameters, external disturbance and internal parameter perturbation. The attitude kinematics and dynamics equations have the characteristics of strict feedback. While certainty in the kinematics and time-varying uncertainties in the dynamics make £1 adaptive backstepping control...
In this paper, a nonlinear adaptive super-twisting sliding mode fault tolerant controller is proposed for an uncertain MIMO aircraft system in the present of actuator malfunctions. The dynamics of aircraft attitude motion are divided into outer-loop subsystem and inner-loop subsystem. On this basis, the controllers are designed respectively to ensure the finite-time convergence. Through the online...
This paper addresses a new nonlinear gain feedback based neural adaptive dynamic surface control (DSC) method for a class of strict feedback nonlinear systems in the presence of uncertainties and external disturbances. Besides circumventing the problem of complexity explosion, the nonlinear gain feedback technique brings a self-regulation ability into the pioneering DSC method to improve the dynamic...
In this article, the problem of sliding mode control (SMC) for uncertain discrete-time systems is investigated. The matched uncertainties in the state matrix are norm-bounded and can be estimated by the adaptive approach. Two situations are considered in this text: the state is measurable, and the state is unmeasurable. We chose an appropriate sliding surface such that the trajectories of states will...
This paper considers coordinated path following of multiple underactuated unmanned surface vehicles (USVs) subject to dynamical uncertainties and limited control torques. The objective is to achieve a symmetric formation pattern over a closed curve. Adaptive coordinated path following controllers are developed by combing a parameter cyclic pursuit approach, a line-of-sight guidance principle, and...
The problem of the state tracking over a finite-time interval is concerned in this paper. Based on the average dwell-time method, both matched and unmatched cases are considered in the system. To make the state tracking error is finite-time bounded and the considered system achieves a weighted H∞ performance for the exogenous disturbance, the switching law is designed by the states error. Sufficient...
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