We present an adaptive control scheme of accumulative error to stabilize the unstable fixed point for chaotic systems which only satisfies local Lipschitz condition, and discuss how the convergence factor affects the ...
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We present an adaptive control scheme of accumulative error to stabilize the unstable fixed point for chaotic systems which only satisfies local Lipschitz condition, and discuss how the convergence factor affects the convergence and the characteristics of the final control strength. We define a minimal local Lipschitz coefficient, which can enlarge the condition of chaos control. Compared with other adaptive methods, this control scheme is simple and easy to implement by integral circuits in practice. It is also robust against the effect of noise. These are illustrated with numerical examples.
Hydraulic actuation control system demonstrates instability in several parameter regions. A nonlinear mathematical model of hydraulic rudder control system in airplane is established. Non-dimensional analysis is emplo...
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Hydraulic actuation control system demonstrates instability in several parameter regions. A nonlinear mathematical model of hydraulic rudder control system in airplane is established. Non-dimensional analysis is employed to analyze the regions of initial Hopf bifurcation which may lead to oscillations of hydraulic actuation system under the effect of load. Taking the system damping coefficient parameter as a reference, the load force of hydraulic actuators has great implications on the system stability. Numerical simulation using ODE solver indicates that stable impacting limit cycle exists at several particular parameters. The analysis in this paper can support the design and vibration control of the hydraulic rudder control system.
In this paper, the finite-time stabilization problem for second-order systems subject to mismatched disturbances is studied. By integrating the homogeneous control technique and the finite-time disturbance observer to...
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ISBN:
(纸本)9781467374439
In this paper, the finite-time stabilization problem for second-order systems subject to mismatched disturbances is studied. By integrating the homogeneous control technique and the finite-time disturbance observer together, a kind of feedforwardfeedback composite controllers are proposed. These controllers globally finite-time stabilize the disturbed systems. Moveover,the composite control method is also used to solve the finite-time consensus problem of leaderless second-order systems with mismatched disturbances. Simulations demonstrate the effectiveness of the proposed control algorithms.
In the contribution new results in a control design of a general three-dimensional non-holonomic integrator(NHI) including drift terms is *** global asymptotic stability(GAS) proposed non-linear controller assure also...
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ISBN:
(纸本)9781479970186
In the contribution new results in a control design of a general three-dimensional non-holonomic integrator(NHI) including drift terms is *** global asymptotic stability(GAS) proposed non-linear controller assure also minimal input norm during transients and in steady states and high dynamic in output response for a piecewise constant reference *** to appropriate input modulation internal states follow natural periodic orbits necessary to fulfill non-holonomic *** a non-linear transformation that describe error dynamics feedback stability is proven by using Lyapunov *** value of the proposed design is illustrated on the example of induction machine torque control along with a simulation and experimental results.
In this paper, a bearing-only formation tracking problem for leader-follower multi-agent systems is investigated, where followers track the leader according to the bearing-only measurement while forming a formation wi...
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ISBN:
(纸本)9781467374439
In this paper, a bearing-only formation tracking problem for leader-follower multi-agent systems is investigated, where followers track the leader according to the bearing-only measurement while forming a formation with respect to the leader.A formation tracking strategy is proposed based on a consensus-based formation protocol and a consensus-based distributed extended information filter(CDEIF). Sufficient conditions for multi-agent systems with bearing-only measurement to achieve formation tracking are presented. Numerical examples are given to demonstrate the effectiveness of the proposed strategy, which include comparative examples to show the effectiveness of CDEIF, extended information filter(EIF) and distributed extended information filter(DEIF).
In this paper we propose a manipulated reward function for the Q-learning algorithm which is a reinforcement learning technique and utilize the proposed algorithm to tune the parameters of the input-output membership ...
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ISBN:
(纸本)9781467371605
In this paper we propose a manipulated reward function for the Q-learning algorithm which is a reinforcement learning technique and utilize the proposed algorithm to tune the parameters of the input-output membership functions of fuzzy logic controllers. The use of a reward signal to formalize the idea of a goal is one of the most distinctive features of reinforcement learning. To improve both the performance and convergence criteria of the mentioned algorithm we propose a fuzzy structure for the reward function. In order to demonstrate the effectiveness of the algorithm we apply it to two second order linear systems with and without time delay and finally a nonlinear system will be examined.
This paper presents an approach capable of recovering the trajectory from the image sequence of a single camera based on sparse SURF flow with multi-layer bucketing screener. The main novelty of the proposed approach ...
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ISBN:
(纸本)9781467374439
This paper presents an approach capable of recovering the trajectory from the image sequence of a single camera based on sparse SURF flow with multi-layer bucketing screener. The main novelty of the proposed approach is that we designed a multi-layer screener to screen good features detected by SURF algorithm. The bucketing scheme firstly divides the image into several buckets. For each bucket, both mismatched and redundant feature pairs will be rejected so that the accuracy of SURF flow will be improved, and also the maximal number of selected features is kept in order to reduce the computational complexity. Besides, the distribution of optical flow is tuned to be more uniform, which turns out to be important for reducing drift rate of motion estimation. Based on the accurate and uniformly distributed SURF flow, a fundamental matrix estimation combining RANSAC and the eight-point algorithm is applied to compute the relative pose between every consecutive pair of frames. Experiments show that the ego-motion estimation using the optical flow generated by our method is clearly superior compared to other optical flow based techniques in terms of accuracy.
This paper reviews newly development in stochastic H2/H∞ control with multiplicative noise based on Nash game approach. After then, some further research topics in the field of H2/H∞ control are presented.
ISBN:
(纸本)9781467374439
This paper reviews newly development in stochastic H2/H∞ control with multiplicative noise based on Nash game approach. After then, some further research topics in the field of H2/H∞ control are presented.
This paper defines uniform detectability of discrete-time stochastic systems with multiplicative noise,based on which,Lyapunov-type theorems associated with generalized Lyapunov equations and exponential stability in ...
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This paper defines uniform detectability of discrete-time stochastic systems with multiplicative noise,based on which,Lyapunov-type theorems associated with generalized Lyapunov equations and exponential stability in mean square sense are presented.
A solution of intelligent, optimum guaranteed-cost and robust, control for a class of uncertain switched nonlinear systems via switched fuzzy models possessing time delays and uncertainties has been developed. Followi...
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A solution of intelligent, optimum guaranteed-cost and robust, control for a class of uncertain switched nonlinear systems via switched fuzzy models possessing time delays and uncertainties has been developed. Following the multiple Lyapunov functions approach, a non-fragile state feedback controller and a switching law are designed such that the closed-loop system is asymptotically stable and the guaranteed cost function possesses an upper bound. Then an optimization problem of the non-fragile guaranteed cost control is solved. The considered optimum non-fragile guaranteed-cost control problem asymptotic stability of subsystems is not assumed, nonetheless the overall system is guaranteed asymptotically stable. Numerical and simulation results for an illustrative example are presented to demonstrate the feasibility and effectiveness of the proposed intelligent control design.
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