To enable the multi-robot system allocating tasks automatically is very important in improving the adaptation of the system. In this paper, a task allocation method based on personality is designed and a persistent fa...
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To enable the multi-robot system allocating tasks automatically is very important in improving the adaptation of the system. In this paper, a task allocation method based on personality is designed and a persistent factor, as one aspect of personality of the robot is introduced; the pheromone follow phenomenon of the ant algorithm is used to realize cooperation. Box pushing problem is used to test the performance of the algorithm. A phenomenon called task deadlock is defined and discussed in the paper. the persistent factor is used to solve the task deadlock problem
the paper considers piecewise linear system with bounded disturbances (PWLBD system). Some properties of the minimal disturbance invariant set F infin of PWLBD systems are discussed and an algorithm for the computati...
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the paper considers piecewise linear system with bounded disturbances (PWLBD system). Some properties of the minimal disturbance invariant set F infin of PWLBD systems are discussed and an algorithm for the computation of its outer bounds is presented. In general, the set F infin of PWLBD system is non-convex and a union of many polytopes. the resulting outer bounds are convex and remain disturbance invariant property
In this paper, we propose a state space approach to the decomposition of linear periodic time-varying (LPTV) systems. It decomposes an LPTV system into two subsystems: the stable LPTV subsystem and the unstable LPTV s...
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In this paper, we propose a state space approach to the decomposition of linear periodic time-varying (LPTV) systems. It decomposes an LPTV system into two subsystems: the stable LPTV subsystem and the unstable LPTV subsystem. An anti-causal realization for the unstable LPTV subsystem is further developed for providing stable numerical computation of the unstable system output
A neural network controller for direct yaw moment control was developed to improve the vehicle stability. the neural network approximate model was used to identify the vehicle system and then the controller was obtain...
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A neural network controller for direct yaw moment control was developed to improve the vehicle stability. the neural network approximate model was used to identify the vehicle system and then the controller was obtained by rearrangement of the neural network plant model. the controller was designed to generate additional yaw moment and make the yaw rate tracking the desired trajectory. the numerical simulation of a vehicle under severe cornering maneuver has been carried out with and without the use of the controller. Simulation results indicate that the vehicle handling and stability are significantly improved as compared to the uncontrolled one
this paper studies on delay-dependent robust H ∞ control for uncertain linear systems with time-varying delays both in state and input. Based on an integral inequality, the sufficient condition of the existence for ...
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this paper studies on delay-dependent robust H ∞ control for uncertain linear systems with time-varying delays both in state and input. Based on an integral inequality, the sufficient condition of the existence for the state feedback controller is presented in terms of LMI, by means of Lyapunov-Krasovskii functional approach; it is proved that the new criterion does not require any assumptions about the system matrices. Finally, a numerical example is presented to demonstrate that using this integral inequality is effective
In smooth support vector machine (SSVM), the plus function must be approximated by some smooth function, and the approximate error will affect the classification ability. this paper studies the smooth approximation to...
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In smooth support vector machine (SSVM), the plus function must be approximated by some smooth function, and the approximate error will affect the classification ability. this paper studies the smooth approximation to the plus function by piecewise polynomials. First, some standard piecewise polynomial smooth approximation problems are formulated. then, the existence and uniqueness of solution for these problems are proved and the analytic solutions are achieved. the comparison between the results in this paper and the previous ones shows that the piecewise polynomial functions in this paper achieve better approximation to the plus function
In this paper, we consider robustness for real-time control method, which is based on the algorithms of numerical solutions for optimal control problems, called algorithmic control. We improved the conventional algori...
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In this paper, we consider robustness for real-time control method, which is based on the algorithms of numerical solutions for optimal control problems, called algorithmic control. We improved the conventional algorithmic control technique for the numerical robustness via incorporating computation time. the proposed control technique is applied to a positioning control problem of four-wheeled vehicles. We deal withthe case of disturbance or modeling errors exists. the effectiveness of the proposed method is demonstrated through some numerical simulation results
this paper introduces a person following shopping cart robot. the developed prototype robot is using a shopping cart as the robot's main body and attaching a driving module. the aim of this study is to develop a p...
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this paper introduces a person following shopping cart robot. the developed prototype robot is using a shopping cart as the robot's main body and attaching a driving module. the aim of this study is to develop a porting system for large-sized facilities (i.e. shopping mall, airport, etc.), where the object item is autonomously carried by a person following ("after you") porting robot. We believe such study on porting robots is highly practical and necessary in today's aging society. By using the computer's signal output for autonomous run and the manually control function for risk aversion, a compatible control with automatically and manually control is realized. the structure and the principle of control system are described
this paper proposes a design method for the adaptive reliable and robust H ∞ control problems of a class of nonlinear systems with parametric uncertainties and external disturbances in the case of existing actuator ...
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this paper proposes a design method for the adaptive reliable and robust H ∞ control problems of a class of nonlinear systems with parametric uncertainties and external disturbances in the case of existing actuator failures. By the use of the parametric projection method in adaptive control, the adaptive control laws are derived. Based on Hamilton-Jacobi inequalities, the adaptive controllers are designed to guarantee the system robust H ∞ performance with actuator failures
the greenhouse temperature model is built based on the balance of the energy. A new real-coded genetic algorithm (GA) for self-tuning fuzzy logic control (FLC) of greenhouse temperature is proposed, in which, an arith...
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the greenhouse temperature model is built based on the balance of the energy. A new real-coded genetic algorithm (GA) for self-tuning fuzzy logic control (FLC) of greenhouse temperature is proposed, in which, an arithmetical crossover operator, a ranking-based reproduction operator and a non-uniform mutation operator are adopted. the Gaussian input membership functions for the error and the change-in-error of the temperature of FLC is optimized by GA in terms of the root-mean-square error (RMSE) with setpoint and input energy. Compared withthe basic fuzzy control, the tuned FLC gives better performance in terms of improving control precision and saving energy
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