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A novel robust sliding-mode controller using neural networks (NNs) is given for trajectory tracking control of permanent magnet spherical actuator (PMSA) with external disturbance and system model errors. The controller is established including sliding-mode scheme and the neural networks. The radial basis function (RBF) neural networks are chosen to approximate the unknown model and uncertainty, as...
Research of modern flight control methods for unmanned aerial vehicles (UAVs), which lower the cost and risk associated with the design of actual physical flight systems, has become research hotspot in recent years. However, design of control laws for UAV is complicated and challengeable due to UAV uncertainties, nonlinearity and coupling. This paper proposes a new hybrid controller design scheme,...
Unmanned Aerial Vehicles (UAVs) are playing an important role both in military as well as civilian applications. However, their role in civilian applications is hampered by the lack of adequate guidelines and operational requirements. In this paper a set of flight, operational and performance requirements for the use of fixed wing UAVs in civilian applications are collated from several resources in...
Electro-mechanical actuators (EMA) are finding increasing use in aerospace applications, especially with the trend towards all all-electric aircraft and spacecraft designs. However, electro-mechanical actuators still lack the knowledge base accumulated for other fielded actuator types, particularly with regard to fault detection and characterization. This paper presents a thorough analysis of some...
The problem of guaranteed cost fault-tolerant control for networked control systems (NCSs) is discussed in this paper. Based on Lyapunov stability theory and linear matrix inequality (LMI), the sufficient conditions which can meet a cost function for closed-loop networked control systems possessing robust integrity against actuator failures are given by adopting memory state feedback control law,...
This paper develops robust Hinfin fuzzy hyperbolic control for nonlinear large-scale systems with parameter uncertainties. Firstly, fuzzy hyperbolic model (FHM) can be used to establish the model for certain complex large-scale systems, then according to the Lyapunov direct method and the decentralized control theory of large-scale systems, the sufficient condition in the terms of linear matrix inequalities...
A robust fault-tolerant adaptive fuzzy control design scheme for a class of perturbed and strict feedback nonlinear systems with actuators fault is proposed. The design is based on backstepping and dynamic surface technique. The continuous robust term is adopted to minimize the influence of modeling error or disturbance and the fuzzy logic systems are used to approximate to the nonlinear functions...
The problem of robust decentralized reliable Hinfin control is investigated for nonlinear uncertain interconnected systems with state time-varying delays. By conducting proper Lyapunov universal function, we present a group of linear matrix inequality(lIMs) which have the solution as sufficient conditions to stabilize the closed-loop system asymptotically and have the Hinfin property, giving the condition...
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