In order to intercept maneuvering targets, a guidance law based on nonsingular terminal sliding mode (NTSM) technique is presented. The proposed NTSM contains the line-of-sight (LOS) angular rate and a desired LOS ang...
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In order to intercept maneuvering targets, a guidance law based on nonsingular terminal sliding mode (NTSM) technique is presented. The proposed NTSM contains the line-of-sight (LOS) angular rate and a desired LOS angular. Through introducing the nonlinear sliding mode surface to improve the convergent characteristics of the system, the states of the closed-loop system can be converged to the origin in finite time and the system performance is improved greatly. The LOS angular rate is nullified in finite time to guarantee the zero miss-distance between the missile and the target;the LOS angular reaches the desired value in finite time to guarantee the missile attitude of hitting the target. With the maneuverability of acceleration of the target regarded as an unknown bounded disturbance, the proposed guidance law is robust to target maneuvering by using the invariance of the variable structure control. The guidance law has a simple structure and is easy to be implemented. Two cases of target maneuvering are simulated to validate the effectiveness of the method. The simulation results show that the algorithm has strong robustness and high guidance accuracy.
In this paper, a robust adaptive control scheme is proposed for the stabilization of uncertain linear systems with discrete and distributed delays and bounded perturbations. The uncertainty is assumed to be an unknown...
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In this paper, a robust adaptive control scheme is proposed for the stabilization of uncertain linear systems with discrete and distributed delays and bounded perturbations. The uncertainty is assumed to be an unknown continuous function with norm-bounded restriction. The perturbation is sector-bounded. Combining with the liner matrix inequality method, neural networks and adaptive control, the control scheme ensures the exponential stability of the closed-loop system for any admissible uncertainty.
The memory state feedback control problem for a class of discrete-time systems with input delay and unknown state delay is addressed based on LMIs and Lyapunov-Krasovskii functional method. Under the action of our des...
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The memory state feedback control problem for a class of discrete-time systems with input delay and unknown state delay is addressed based on LMIs and Lyapunov-Krasovskii functional method. Under the action of our designed adaptive control law, the unknown time-delay parameter is included in memory state feedback controller. Using LMI technique, delay-dependent sufficient conditions for the existence of the feedback controller are obtained. Finally, the effectiveness of the proposed design method is demonstrated by a numerical example.
Object states estimation and data association are main facets of multi-object tracking. Under complex situations, one object often grouped with others, or occluded by other objects or background, which can increase th...
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In the letter [Neurocomputing 71(1–3) (2007) 428–438], there exists one minor error in computing the derivative of V 2 ( ɛ ( t ) ) and thus, the proof of Theorem 1 needs some improvement.
In the letter [Neurocomputing 71(1–3) (2007) 428–438], there exists one minor error in computing the derivative of V 2 ( ɛ ( t ) ) and thus, the proof of Theorem 1 needs some improvement.
Aiming at the product demand series with multidimension, small samples, nonlinearity and multi-apex in manufacturing enterprise, chaos theory is combined with support vector machine, and a kind of chaotic support vect...
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Aiming at the product demand series with multidimension, small samples, nonlinearity and multi-apex in manufacturing enterprise, chaos theory is combined with support vector machine, and a kind of chaotic support vector machine named C v -SVM is proposed. And then, a product demand forecasting method and its relevant parameter-choosing algorithm are put forward. The results of application in car demand forecasting show that the forecasting method based on C v -SVM is effective and feasible.
In this paper, the finite-time tracking problem is investigated for a nonholonomic wheeled mobile robot in a fifth-order dynamic model. We consider the whole tracking error system as a cascaded system. Two continuous ...
In this paper, the finite-time tracking problem is investigated for a nonholonomic wheeled mobile robot in a fifth-order dynamic model. We consider the whole tracking error system as a cascaded system. Two continuous global finite-time stabilizing controllers are designed for a second-order subsystem and a third-order subsystem respectively. Then finite-time stability results for cascaded systems are employed to prove that the closed-loop system satisfies the finite-time stability. Thus the closed-loop system can track the reference trajectory in finite-time when the desired velocities satisfy some conditions. In particular, we discuss the control gains selection for the third-order finite-time controller and give sufficient conditions by using Lyapunov and backstepping techniques. Simulation results demonstrate the effectiveness of our method.
In this paper the Morphological Quotient Image (MQI) based on close and open operation are compared, and the more effective operation is chosen. Furthermore, the influence of template size to recognition rate is studi...
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Accurate and robust location of feature point is a difficult and complicated issue in face *** paper proposes a facial feature point location algorithm based on improved Multi-Resoluti
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(纸本)9780780397361
Accurate and robust location of feature point is a difficult and complicated issue in face *** paper proposes a facial feature point location algorithm based on improved Multi-Resoluti
Accurate and robust location of feature point is a difficult and complicated issue in face recognition. This paper proposes a facial feature point location algorithm based on improved Multi-Resolution- Active Shape Mo...
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