A new control strategy using only output feedback for the stabilization of uncertain nonminimum phase systems is presented in this paper. Multiple observers for the unmeasured states of the plant, the output signal an...
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A new control strategy using only output feedback for the stabilization of uncertain nonminimum phase systems is presented in this paper. Multiple observers for the unmeasured states of the plant, the output signal and unknown disturbances have served as the basis for the design of a sliding mode control law robust to parametric uncertainties and exogenous perturbations. Global asymptotic stability is demonstrated for the closed-loop system. Simulation results illustrate the performance of the proposed control algorithm.
Windup phenomenon often occur for the control systems with input constraint and it degrades the control performance significantly. In this paper, an adaptive anti-windup control strategy for compensate the PI control ...
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Windup phenomenon often occur for the control systems with input constraint and it degrades the control performance significantly. In this paper, an adaptive anti-windup control strategy for compensate the PI control system with saturated input will be proposed. An almost strictly positive real (ASPR) based adaptive output feedback control is added on the PI control and adaptive anti-windup control design scheme will be proposed based on the model recovery anti-windup strategy. the stability of the obtained control system is analyzed and the effectiveness of the proposed method will be confirmed through numerical simulations.
Traditionally, any new development in soft robotics has to come first through many trial-and-error experiments. Many researchers tried to develop analytical models either to study certain phenomena in an already exist...
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In this paper, we apply the method of controltheory to machine learning, proposing a new multiplication update algorithm combined with adaptive controltheory, we name it MRAC-MU algorithm. A new parameter updating l...
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In this paper, we apply the method of controltheory to machine learning, proposing a new multiplication update algorithm combined with adaptive controltheory, we name it MRAC-MU algorithm. A new parameter updating law is obtained according to Lyapunov stability theorem. Using the same object function as the exponential gradient (EG) algorithm, which is the key online learning method to multiplicative updates algorithm, Experiments are used to validate the proposed algorithm has a better result than EG algorithm in prediction accuracy.
this paper investigates to controlthe double integrator with linear active disturbance rejection control and reports two results. First, there is a separation principle which means the dynamics of the state feedback ...
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this paper investigates to controlthe double integrator with linear active disturbance rejection control and reports two results. First, there is a separation principle which means the dynamics of the state feedback and the error of extended state observer are completely decoupled. Second, with bandwidth method in which the observer bandwidth equals to the controller bandwidth, the closed-loop always has a phase margin of 31.89 degrees and a gain crossover frequency equals to the observer bandwidth, which can be set arbitrary.
this paper is concerned with non-fragile reliable control for positive switched systems with actuator faults. Using linear co-positive Lyapunov functions with linear programming approach, a new non-fragile reliable co...
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this paper is concerned with non-fragile reliable control for positive switched systems with actuator faults. Using linear co-positive Lyapunov functions with linear programming approach, a new non-fragile reliable controller is designed based on a gain matrix decomposition technique for positive switched systems. To increase the reliability of the controller, the controller gain perturbation term is introduced for the controller. then, the presented approach is developed to interval positive switched systems. Under the designed controller, the interval closed-loop system is positive and exponentially stable. Finally, a numerical example is given to illustrate the validity of the obtained results.
this paper designs and produces a single camera head, i.e., the camera view direction control device, for the highperformance Wide Angle Fovea (WAF) sensor. Since the input image by the WAF sensor has an explicit atte...
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We focus on the realization of the hierarchical inverse kinematics as a practical means of a hard real-time motion planning for a humanoid robot. To achieve complex on-line full body manipulation performance, a task p...
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ISBN:
(纸本)9781538670804;9788993215168
We focus on the realization of the hierarchical inverse kinematics as a practical means of a hard real-time motion planning for a humanoid robot. To achieve complex on-line full body manipulation performance, a task priority is established among the tasks to precisely resolve task conflicts and all algorithms are described in recursive equations so as to minimize computation time. Formulating the kinematic problem in a least-square optimization enables us to derive solutions in a unified and consistent framework. the performance is validated through numerical simulations with bearing mind of rescue robot applications and finally, the inverse kinematic solution is found within 0.3msec on average for 19 degrees of freedom control.
In this paper, the problem of sampled-data output feedback control is discussed for a class of switched nonlinear systems with imprecise output information. First, withthe help of a compensator, an output feedback co...
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In this paper, the problem of sampled-data output feedback control is discussed for a class of switched nonlinear systems with imprecise output information. First, withthe help of a compensator, an output feedback controller in the form of continuous-time is designed on the basis of backstepping design method and the domination approach. then, by discretizing the continuous-time one, we obtain the sampled-data output feedback controller by skillfully choosing design parameters and a maximum sampling period, which ensures the global exponential stability for the closed-loop system. Finally, a numerical example is presented to illustrate the validity of the result.
this paper discusses an application of finite-time stabilization methods to the control of quadcopters. the finite-time stabilization methods guarantee the finite-time convergence to the equilibrium state and exhibit ...
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this paper discusses an application of finite-time stabilization methods to the control of quadcopters. the finite-time stabilization methods guarantee the finite-time convergence to the equilibrium state and exhibit robustness property with respect to disturbances and modeling errors. the application of the finite-time stabilization to the control of UAV is expected to be effective. this paper shows an application of a finite-time stabilization to quadcopters and investigates the effectiveness of the stabilization via the physics simulation based on ROS and Gazebo. the performance of the finite-time stabilization method is compared withthose of an exponentially stabilizing feedback controller.
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