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In order to enhance the tracking performance of maneuvering target by forgetting factor RLS algorithm, an improved forgetting factor adaptive function is proposed based on cosine function. This adaptive function can adjust the forgetting factor dynamically according to the tracking error. In addition, a comprehensive predictor is designed, which dynamically selects the linear predictor or the square...
In this paper the reaching law approach to designing sliding mode controllers is used. In particular, the case of switching variable of relative degree r > 1 is considered. It is demonstrated, that the use of such a variable allows more freedom in designing the controller and can result in reducing the maximum absolute value of the control signal without compromising the robustness with respect...
Reaching law approach is a straightforward method of ensuring the desired dynamic response of a variable structure system. In our paper, this method is used to design a new non-switching type discrete time sliding mode control strategy. The strategy is shown to ensure a finite time reaching phase, stability of the sliding motion and bounded convergence rate of the sliding variable to the vicinity...
For two-qubit systems with a degenerate measurement operator, this paper presents a control approach to achieve rapid stabilization to a target Bell state. This approach uses two control channels where the control laws associated with these two channels are designed as a constant and a switching control law, respectively. In the control scheme, the system state space is divided into two parts: the...
Based on the existing algorithm of fault-sectin location in distributed network containing distributed generation(DG), the effect of localization is not ideal, especially premature convergence problem in the original genetic algorithm, a new fault location method of chaotic optimization based on multiple-population genetic algorithm is proposed. Firstly, the introduction of a number of population...
A novel reaching law of sliding mode control is proposed by using saturation function and power term in this paper, which aims at reducing chatting phenomenon and fastening convergence speed. It is indicated through theoretical analysis that the system under the proposed reaching law has existence and accessibility. The convergence speed is calculated in detail. The sliding mode control system of...
This paper presents a concise survey on reaching law based sliding mode control. The goal is to highlight the most important developments related to reaching laws for both continuous time systems and discrete time ones. First, origins of reaching law methodology for continuous time systems are brought up and essential properties of these control methods are discussed. Advances in continuous time reaching...
The paper concerns the problem of the numerical simulation of hybrid systems with sliding modes. We give an overview of the numerical simulation procedures which have been described in the literature and next we present our proposition of the simulation code. What differs our solution from others is the utilization of differential-algebraic equations (DAEs) during the simulation of a sliding motion...
In this paper, a new reaching law for discrete time systems is proposed and applied to obtain a sliding mode control strategy. The new strategy ensures a finite time convergence of the system representative point to the sliding surface and confines the state to a vicinity of this surface. The proposed strategy ensures switching in each time instant in the sliding phase, which means it is in line with...
The identification and control of Sandwich systems are surveyed for the systems which involve backlash nonlinearity. The focus is made on the way of constructing the identification model and the convergence rate of the identification algorithm. Based on a parameterization of backlash, the Sandwich system with backlash is constructed as a regression model in which the backlash parameter and linear...
In this paper, the leader-following consensus problem of a class of fractional-order nonlinear multi-agent systems is considered. By using the algebraic graph theory, Lyapunov theory and LMI method of fractional-order systems, the control gain matrix is designed to achieve leader-following consensus under fixed and switching topologies respectively. Furthermore, the convergence rate of the controlled...
A finite time convergent sliding-mode guidance law with hysteresis switching is proposed for the guidance considering thrust constraint and second-order dynamics of divert thruster. Firstly, the mathematical model of relative movement considering the second-order dynamic delay of engine is set up according to the planar relative motion of missile and target. Secondly, based on the principle of nullifying...
The process optimization of train operation is a sophisticated multi-objective optimization problem, especially in the condition of timing constraints. Due to the fact that the multi-objective optimization model of train operation process with time constraint is difficult to be solved precisely in the limited optimization time, the process optimization of train operation with time constraint based...
For a class of nonlinear continuous systems, this paper proposes a sliding mode control with unidirectional auxiliary surfaces (UAS-SMC) based on a double power reaching law and a disturbance observer (DO). Firstly, according to the nonlinear continuous systems, the switching surfaces and the controller based on the proposed law and DO are designed to weaken the chattering phenomenon caused by disturbance...
In this paper, we propose a bounded-confidence opinion model and focus on the study of the opinion consensus probability based on long-range opinion interactions. In this model, each agent updates its opinion using some agents' opinion values according to its confidence bound. We provide a lower bound of the opinion consensus probability when the confidence bound is sufficiently small. Also, we give...
In this note, we investigate the problem of stabilization for second order switched systems by means of output feedback control and switching design. Under mild conditions, we design the output feedback and switching signal to exponentially stabilize the switched systems. Meanwhile, we optimize the switching signal to achieve nonovershooting of the output.
The present paper develops a distributed protocol solving the distributed optimization problem for multi-agent systems with the discrete-time dynamics under Markovian switching topologies. Both the completely known probabilities and partially unknown probabilities in the transition matrices are taken into account. Through the proper coordination of transformation, the optimization under consideration...
This paper presents the analysis and design of an adaptive parameter estimator for power electronics circuits. Adaptive parameter estimation has been demonstrated to be a useful technique for enabling novel controls, monitoring, and fault diagnosis techniques in power electronics systems. We present an analysis of factors that affect the performance, stability, and feasibility of a gradient-type parameter...
Rectified linear units (ReLU) are known to be effective in many deep learning methods. Inspired by linear-mapping technique used in other super-resolution (SR) methods, we reinterpret ReLU into point-wise multiplication of an identity mapping and a switch, and finally present a novel nonlinear unit, called a selection unit (SU). While conventional ReLU has no direct control through which data is passed,...
This paper presents novel approach for optimal distribution network reconfiguration using the combination of cycle-break algorithm and genetic algorithms. Significant improvements are introduced in the phases of initial population generation as well as other general operations inside genetic algorithm. These improvements lead to better convergence rate and computational time reduction. Even though...
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