A Generalized Interaction Wake Model with Its Variation for Control in Wind Farms

in 35th Chinese Control Conference, Chengdu. China, 2016 (2016, July 28)

Generalized Wake Interaction Models and Optimal Control in Wind Farms

in 28th Control and Decision Conference (CCDC), China, 2016 (2016, May 28)

Composite Learning Control With Application to Inverted Pendulums

in IEEE Conference Publications (Ed.) IEEE International Conference - Chinese Automation Congress (CAC), 2015 (2015, December 01)

Composite adaptive control (CAC) that integrates direct and indirect adaptive control techniques can achieve smaller tracking errors and faster parameter convergence compared with direct and indirect ... [more ▼]

Composite adaptive control (CAC) that integrates direct and indirect adaptive control techniques can achieve smaller tracking errors and faster parameter convergence compared with direct and indirect adaptive control techniques. However, the condition of persistent excitation (PE) still has to be satisfied to guarantee parameter convergence in CAC. This paper proposes a novel model reference composite learning control (MRCLC) strategy for a class of affine nonlinear systems with parametric uncertainties to guarantee parameter convergence without the PE condition. In the composite learning, an integral during a movingtime window is utilized to construct a prediction error, a linear filter is applied to alleviate the derivation of plant states, and both the tracking error and the prediction error are applied to update parametric estimates. It is proven that the closed-loop system achieves global exponential-like stability under interval excitation rather than PE of regression functions. The effectiveness of the proposed MRCLC strategy has been verified by the application to an inverted pendulum control problem. [less ▲]

A Wake Interaction Model for the Coordinated Control of Wind Farms

in Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on (2015, September 08)

Uncertainty Quantification of Exponential Synchronization for a Novel Class of Complex Dynamical Networks with Hybrid TVD Using PIPC

in Control and Decision Conference (CCDC), 2015 27th Chinese (2015, May 23)

Network Design for Distributed Model-Based Fault Detection and Isolation

in IEEE Multi-Conference on Systems and Control, MSC 2014 (2014, October 08)

Uncertainty Quantification of Group Synchronization and Control of a New Class of Adaptive Complex Dynamical Network with Brownian Motion and Time-varying Delay

in Control Conference (CCC), 2014 33rd Chinese (2014, July 28)

Chaos Multiscale-Synchronization Between Two Different Fractional-Order Hyperchaotic Systems Based on Feedback Control

in International Journal of Bifurcation and Chaos (2013), 23(08), 16

In this paper, the chaos multiscale-synchronization between two different Fractional-order Hyperchaotic System (FOHCS)s have been investigated. The L¨u-like and its FOHCS are also studied. The L¨u-like ... [more ▼]

In this paper, the chaos multiscale-synchronization between two different Fractional-order Hyperchaotic System (FOHCS)s have been investigated. The L¨u-like and its FOHCS are also studied. The L¨u-like FOHCS is controlled to be multiscale-synchronization with Liu FOHCS and new Lorenz FOHCS, respectively. The analytical conditions for the multiscale-synchronization of these pairs of different FOHCSs are derived by utilizing Laplace transform. Furthermore, multiscale-synchronization between two different FOHCSs is achieved by utilizing the different linear and nonlinear feedback control method in a short period and both remain in chaotic states. Numerical simulations are used to verify the theoretical analysis using different values of the fractional-order parameter and the different linear and nonlinear control functions. [less ▲]