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This paper concerns with the dynamics of TH equations both in the time domain and in the true anomaly domain. Based on the homogeneous solutions of TH equations, a state transition matrix for the TH equations in the true anomaly domain is obtained. The state transition matrix applies to any eccentric orbit. Through the state transition matrix, the sampleddata descriptions are obtained for both the...
Finite-time stability (FTS) of switched linear singular systems (SLS) is studied in this article. First of all, the definition of finite-time stability for switched linear singular systems is given. Then, based on the description of the state jump by a consistency projector when the subsystem is switching from one to another, we acquire a sufficient condition for FTS of switched linear singular systems...
In this paper, we deals with the problem of the robust stability of a linear system with a time-varying delay and polytopic-type uncertainties via homogeneous polynomial forms. An type of transformation related to the homogeneous polynomial function for stability analysis of linear system subject to time-varying parametric uncertainty, affecting rationally the state space matrix, is introduced. In...
In this paper, a new method for music symbol classification named Combined Neural Network (CNN) is proposed. Tests are conducted on more than 9000 music symbols from both real and scanned music sheets, which show that the proposed technique offers superior classification capability. At the same time, the performance of the new network is compared with the single Neural Network (NN) classifier using...
This paper investigates the controller design problem for output-constrained uncertain nonlinear switched systems. By applying the idea of p-times differentiable unbounded functions and the backstepping technique, a novel method is proposed to design state-feedback controllers such that the system output of a class of uncertain switched nonlinear systems in lower triangular form can track a constant...
In this paper, the existence and uniqueness of positive solution for 2nth order Lidstone boundary value problems on time scales are obtained by using mixed monotone method. When the time scale T is chosen as R or Z, the problem is the corresponding continuous or discrete boundary value problem. Such boundary value problems play an important role in research of control theory.
An integrated control law is presented considering a nonlinear model of generic hypersonic vehicle as a plant. Based on dynamic inverse theory, the nonlinear model is transformed into an equivalent affine system. Then a dynamic inverse controller could be designed according to the equivalent system. What's more, two fuzzy logic regulars are used to adapt control parameters on line, and the fuzzy rules...
The integrated guidance and control (IGC) technology of aircraft has been developing for more than 30 years, and it mainly focused on the research in single plane. Due to the exigent requirement on the three-dimensional IGC technology in current researches, the mathematical modeling in three-dimensional space is considered and analyzed in order to solve the primary problem during the design period...
This paper studies the problems for the stability analysis and controller design of wireless sensor networks (WSNs) measurement and control systems. In order to ensure the stability of the systems, we construct proper Lyapunov-Krasovskii functional and employ integral inequalities to analyze the WSNs measurement and control systems based on Lyapunov theorem. At the same time, in combination with the...
Center of mass domain of a hexapod robot must be determined in order to analyze the mobility performance and accomplish the high-fidelity simulation. Hexapod robot is simplified as a system of particles based on the structure characteristics of the developed hydraulically actuated hexapod robot. Position vectors of all mass points are established by coordinate transformation. Center of mass position...
We propose a novel unified framework for the initial detection of possible targets within the aerial images using saliency detection. Our method is a bottom-up approach and computes Locally Adaptive Regression Kernel (LARK) from the given image, which measures the likeness of a pixel to its surroundings. Visual saliency is then computed using the self-resemblance measure. The framework results in...
This paper investigates the multi-sensor information fusion estimation problem for sensor networks with nonuniform sampling rates. The measurements are sampled asynchronously by the various sensors with nonuniform sampling rates. Then, each sensor in the network acts also as an estimator and collects measurements from its neighbors to generate estimates by applying a distributed measurement fusion...
In this paper, the effectiveness of hybrid bacteria foraging optimization (BFO) algorithm and particle swarm optimization (PSO) algorithm have been tested for multi-loop robust controller design in discrete-time networked control systems (NCSs). Of particular interest is the case that varying transmission delays and varying transmission intervals in NCSs cause the optimal function to be nonconvex...
Traffic control and guidance is very important to intelligent transportation, which is realized by precise real time traffic state forecasting. CTM (Cell Transmission Model) can describe exactly how traffic shock wave and queue form, yet off-ramp diversion coefficients are set to be time-invariant, which is not conform to the reality that is full of random events. Therefore, CTM could not practically...
In this paper, we study the finite-time consensus problem for multi-agent systems with double-integrator dynamics. Considering the case that the velocity is not available for feedback and the control inputs are required to be a priori bounded, the velocity-free consensus algorithm is proposed, in which, the graph theory, homogeneous method and Lyapunov stability theory are applied. The proposed velocity-free...
This paper investigates the problem of stabilization of nonlinear discrete-time networked control systems (NCSs) with event-triggering communication scheme in the presence of signal transmission delay. The nonlinear NCSs can be approximated by Takagi-Sugeno (T-S) fuzzy model. The event-triggering communication scheme under consideration is that the current sensor data is transmitted only when the...
In this paper, we discuss the predictive control problem for discrete-time system with nonlinearity and multiple missing measurements. A series of mutually independent random variables satisfying certain probabilistic distribution is used to model the multiple missing-measurements. We introduce a new strategy to compensate the negative effects from the missing measurements. The aim is to investigate...
This paper investigates synchronization of dynamical networks with both system delay and transmission delay by applying pinning impulsive control. Based on the comparison theorem and the theory of impulsive functional differential equations, some novel criteria are obtained, from which the proportion of pinned nodes is able to be determined. A numerical example is given to verify the effectiveness...
This paper aims to expatiate on the causes of electromagnetic noise generated by permanent magnet (PM) motor, overview the present status of research on PM motor's electromagnetic noise and outlook the future research directions and the problems need solving based on the existing research results and the developing trends of PM motor.
In this paper, robust actuator fault reconstruction for satellite attitude control systems (ACSs) in the presence of space environmental disturbances and actuator faults is investigated via a learning observer (LO). First, a nonlinear mathematical model of the satellite ACS satisfying Lipschitz constraint is established; then an LO is constructed to achieve robust reconstruction of satellite attitude...
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