References of "Pan, Lin 50002805"
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See detailA Generalized Interaction Wake Model with Its Variation for Control in Wind Farms
Pan, Lin UL; Voos, Holger UL; Darouach, Mohamed

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

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See detailComposite Learning: An Efficient Way of Parameter Estimation in Adaptive Control
Pan, Lin UL

Scientific Conference (2016, July 28)

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See detailGeneralized Wake Interaction Models and Optimal Control in Wind Farms
Pan, Lin UL; Voos, Holger UL; Darouach, Mohamed

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

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See detailRobustness Analysis of Composite Adaptive Robot Control
Pan, Lin UL

Scientific Conference (2016, May 28)

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See detailComposite Learning Control With Application to Inverted Pendulums
Pan, Lin UL

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 ▲]

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See detailA Class of Improved Wake Interaction Model for the Coordinated Control of Wind Farms
Pan, Lin UL; Voos, Holger UL; Darouach, Mohamed

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

This paper is focused on the Wind Energy (WE) systems and Wind Farms (WFs) optimization in Luxembourg. It describes the overview of the wind resources in all the WFs and presents a class of Improved Wake ... [more ▼]

This paper is focused on the Wind Energy (WE) systems and Wind Farms (WFs) optimization in Luxembourg. It describes the overview of the wind resources in all the WFs and presents a class of Improved Wake Interaction Model (IWIM) for Coordination and Optimization Control (CnOC) of WFs. Based on Wind Power (WP) assessment of WFs, the statistical method is used to model the distribution of Wind Speed (WS) and Wind Direction (WD). Some simulation figures about the Wind Rose (WR) and WF optimization demonstrate the description and assessment of WP in detail. These assessments are expected to enhance the effectiveness of exploitation and utilization of WP in WFs of Luxembourg. [less ▲]

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See detailA Wake Interaction Model for the Coordinated Control of Wind Farms
Pan, Lin UL; Voos, Holger UL; Li, Yumei et al

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

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See detailStochastic cyber-attacks estimation for nonlinear control systems based on robust H∞ filtering technique
Yumei, Li UL; Voos, Holger UL; Pan, Lin UL et al

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

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See detailUncertainty Quantification of Exponential Synchronization for a Novel Class of Complex Dynamical Networks with Hybrid TVD Using PIPC
Pan, Lin UL; Voos, Holger UL; Li, Yumei UL et al

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

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See detailExponential Synchronization for a New Class of Complex Dynamical Network with PIPC and Hybrid TVD
Pan, Lin UL; Voos, Holger UL; Darouach, Mohamed

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

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See detailNetwork Design for Distributed Model-Based Fault Detection and Isolation
Rosich, Albert; Voos, Holger UL; Pan, Lin UL

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

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See detailUncertainty Quantification of Group Synchronization and Control of a New Class of Adaptive Complex Dynamical Network with Brownian Motion and Time-varying Delay
Pan, Lin UL; Voos, Holger UL; Darouach, Mohamed

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

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See detailGroup Synchronization and Control of a New Class of Adaptive Complex Network with Brownian Motion and Time-varying Delay
Pan, Lin UL; Voos, Holger UL; Darouach, Mohamed

in Control Conference (ECC), 2014 European (2014, June 24)

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See detailSynchronization of Three-Scroll Unified Chaotic System (TSUCS) and its hyper-chaotic system using active pinning control
Pan, Lin UL

in Nonlinear Dynamics (2013), 73(3), 2059-2071

This paper studies the synchronization and anti-synchronization problem of the Three-Scroll Unified Chaotic System (TSUCS), which has nonlinear terms in each subsystem. By virtue of active control, a ... [more ▼]

This paper studies the synchronization and anti-synchronization problem of the Three-Scroll Unified Chaotic System (TSUCS), which has nonlinear terms in each subsystem. By virtue of active control, a novel active pinning control strategy is presented, which only needs one or two states of the TSUCS. Under the proposed controller, the synchronization of two TSUCS with parametric uncertainty is achieved and therefore the robust stability of TSUCS synchronization is ensured. Some stability theories about synchronization and anti-synchronization have been given and proved the use of this class of a novel TSUCS and its hyper-unified chaotic system with the active pinning control strategy. Numerical simulations are given to verify the theoretical analysis, which clearly shows that the control strategy can really make the chaotic systems achieve synchronization and antisynchronization in a quite short time. [less ▲]

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See detailChaos Multiscale-Synchronization Between Two Different Fractional-Order Hyperchaotic Systems Based on Feedback Control
Pan, Lin UL

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 ▲]

Detailed reference viewed: 101 (14 UL)