Results 271 to 280 of about 160,250 (306)
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Sliding mode control for mixed logical dynamical systems
2015 34th Chinese Control Conference (CCC), 2015In this paper, the problem of sliding mode control (SMC) for mixed logical dynamical (MLD) systems is investigated. The sufficient conditions for the finite-time reachability and the asymptotical stability of the designed sliding mode surface are established, and the finite reaching time is given.
Ma Guoqi +3 more
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A novel backstepping sliding mode dynamic surface control
Proceeding of the 11th World Congress on Intelligent Control and Automation, 2014A novel backstepping sliding mode control with guaranteed L ∞ tracking performance is proposed for a class of typical uncertain strict-feedback nonlinear systems. Inspired by dynamic surface control, the introduction of a low-pass filter avoids the problem of explosion of terms in traditional backstepping design, and instead of the sign function in ...
Dong Wang +3 more
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Adaptive dynamic sliding mode control for overhead cranes
2015 34th Chinese Control Conference (CCC), 2015This paper analyzes the dynamics of overhead cranes suffering from uncertain disturbances, and then proposes a novel adaptive dynamic integral sliding mode control law for the underactuated overhead cranes with uncertainties. This method solve the problem of the tradeoff between the steady-state error and the chattering effect by employing the dynamic ...
Xu Weimin +4 more
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Sliding mode control of F-16 longitudinal dynamics
2008 American Control Conference, 2008We consider the application of a conditional integrator based sliding mode control design for robust regulation of minimum-phase nonlinear systems to the control of the longitudinal flight dynamics of an F-16 aircraft. The design exploits the modal decomposition of the linearized dynamics into its short-period and phugoid approximations.
Sridhar Seshagiri, Ekprasit Promtun
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Dynamical Sliding-Mode Control of the Boost Inverter
IEEE Transactions on Industrial Electronics, 2009The boost inverter is a device that is able to generate a sinusoidal voltage with an amplitude larger than the input voltage. Based on the idea of indirectly controlling the output voltage through the inductor current, a dynamical sliding-mode controller for the boost inverter is proposed in this paper.
D. Cortes +2 more
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Lateral vehicle dynamics control via sliding modes generation
2017This chapter introduces the application of Sliding Mode Control techniques by solving the lateral Vehicle Stability Control (VSC) problem. In Section 4.1 the linearized single track model is presented, which is typically used for the design of lateral stability controllers.
REGOLIN, ENRICO +4 more
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Longitudinal vehicle dynamics control via sliding modes generation
2017In this chapter the application of Sliding Mode Control techniques is illustrated to solve the longitudinal vehicle dynamics control problem. Sliding Mode Control is a nonlinear control method capable of offering a number of benefits, the majority of which is its robustness versus a significant class of uncertainties.
Regolin, Enrico +2 more
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Dynamic Fuzzy Sliding Mode Control of Underwater Vehicles
2014A novel dynamic fuzzy sliding mode control (DFSMC) algorithm is developed for heading angle control of autonomous underwater vehicles (AUV’s) in horizontal plane. At first, we design single input fuzzy sliding mode control (SIFSMC) based on mamdani type fuzzy inference system.
G. V. Lakhekar, L. M. Waghmare
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Fuzzy Sliding Mode Controller for Dynamic Nonlinear Systems
2017Soft-computing based control is fast emerging as the method of implementation of intelligent automation in real world systems. Not only industrial systems, but a wide range of other diagnostic, predictive and autonomous control systems rely on soft computing tools, particularly on fuzzy logic, for the design of intelligent control system.
Gaurav Kumawat, Jayashri Vajpai
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Symbolic computation for dynamic sliding mode controller design
IEE Colloquium on Symbolic Computation for Control, 1996In general, nonlinear controller design will involve three stages; symbolic computation to produce a controller, numerical simulation of the closed-loop system and graphical display of the simulation results. The integration of these three phases can be seen in the work of Blankenship et al. (1995) where several tool boxes have been developed.
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