References of "Gao, Nan"
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See detailNew unified H-infinity dynamic observer design for linear systems with unknown inputs
Gao, Nan; Darouach, Mohamed; Voos, Holger UL et al

in Automatica (2016), 65

In this paper, a unified dynamic observer (UO) is proposed for a class of linear systems in the presence of unknown inputs and disturbances. It generalizes the existing results on the proportional ... [more ▼]

In this paper, a unified dynamic observer (UO) is proposed for a class of linear systems in the presence of unknown inputs and disturbances. It generalizes the existing results on the proportional observer (PO), the proportional integral observer (PIO) and the dynamic observer (DO). The design approach of the UO is derived from the solution of the linear matrix inequality (LMI), based on the new dynamic observer formulation and the solution of the algebraic constraints obtained from the unbiased estimation error. A numerical example is provided to show the applicability and the performance of our results. [less ▲]

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See detailDecentralized Dynamic Observer-Based Control for Large Scale Nonlinear Uncertain Systems
Gao, Nan; Darouach, Mohamed; Alma, Marouane et al

in American Control Conference ACC 2015, Chicago, USA (2015)

The objective of this paper is to propose a decentralized control for a class of large scale uncertain systems. These systems consist of interconnected subsystems where the nonlinear interconnections are ... [more ▼]

The objective of this paper is to propose a decentralized control for a class of large scale uncertain systems. These systems consist of interconnected subsystems where the nonlinear interconnections are quadratic bounded. The proposed control is based on a new form of dynamic observer (DO) and the popular used proportional observer (PO) and proportional integral observer (PIO) are only particular cases of it. The control method is derived from the solution of linear matrix inequalities (LMIs), on the basis of the algebraic constraints obtained from the analysis of estimation error. A numerical example is provided to illustrate the effectiveness of the proposed method. [less ▲]

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See detailH-infinity dynamic observer design for linear time invariant systems
Gao, Nan; Darouach, Mohamed; Voos, Holger UL et al

in 2014 IEEE 53rd Annual Conference on Decision and Control (CDC), Los Angeles, USA (2014, December)

This paper proposes an H-infinity dynamic observer (DO) for a class of linear time invariant (LTI) systems in the presence of disturbances. It generalizes the existing results on the proportional observer ... [more ▼]

This paper proposes an H-infinity dynamic observer (DO) for a class of linear time invariant (LTI) systems in the presence of disturbances. It generalizes the existing results on the proportional observer (PO), the proportional integral observer (PIO) and the DO. The design method is derived from a new formulation of linear matrix inequality (LMI), based on the solutions of the algebraic constraints obtained from the unbiasedness conditions of the estimation error. A numerical example is provided to show the applicability and performances of our observer. [less ▲]

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See detailH∞ decentralized dynamic-observer-based control for large-scale uncertain nonlinear systems
Gao, Nan; Darouach, Mohamed; Alma, Marouane et al

in IEEE Int. Conf. on Control, Decision and Information Technologies (CoDIT), Metz, France, 3-5 Nov. 2014 (2014, November)

In this paper an H∞ decentralized observer-based control is proposed for large-scale uncertain nonlinear systems. These systems are coupled by N interconnected subsystems where the interconnections ... [more ▼]

In this paper an H∞ decentralized observer-based control is proposed for large-scale uncertain nonlinear systems. These systems are coupled by N interconnected subsystems where the interconnections satisfy the quadratic constraints. The proposed control is based on a new form of dynamic observer (DO) which generalizes the existing results on the proportional observer (PO) and the proportional integral observer (PIO). The design approach is derived from the solution of matrix inequality and based on the algebraic constraints obtained from the analysis of the estimation error. A numerical example is provided to show the effectiveness of the proposed control. [less ▲]

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See detailRobust unified H_infinity dynamic observer design for uncertain systems
Gao, Nan; Darouach, Mohamed; Voos, Holger UL et al

in 33rd Chinese Control Conference (CCC), Nanjing, China, 28-30 July 2014 (2014, July)

In this paper, a new robust unifiedH∞ dynamic observer (UDO) design for systems in the presence of time-varying uncertainty and disturbances is presented. The observer design method is derived from the ... [more ▼]

In this paper, a new robust unifiedH∞ dynamic observer (UDO) design for systems in the presence of time-varying uncertainty and disturbances is presented. The observer design method is derived from the solution of the liner matrix inequality (LMI), based on the solution of the algebraic constraint obtained from the analysis of the estimation error. A numerical example is presented to show the performance of the proposed observer. [less ▲]

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See detailH_∞ decentralized dynamic-observer-based control design for large-scale nonlinear intercon-nected systems
Gao, Nan; Darouach, Mohamed; Alma, Marouane et al

in Transaction on IoT and Cloud Computing (2014), 2(3), 46-66

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See detailGeneralized H_infinity observers design for systems with unknown inputs
Darouach, Mohamed; Gao, Nan; Voos, Holger UL et al

in 2nd International Conference on Control and Fault-Tolerant Systems SysTol'13, Nice, France, Oct. 2013 (2013, October)

A generalized H_infinity observer design is proposed for linear systems with unknown inputs. It generalizes the existing results concerning the proportional observer (PO) design and the proportional ... [more ▼]

A generalized H_infinity observer design is proposed for linear systems with unknown inputs. It generalizes the existing results concerning the proportional observer (PO) design and the proportional integral observer (PIO) design. The approach is based on the solutions of the algebraic constraints obtained from the unbiasedness conditions of the estimation error. The observer design is obtained from the solutions of linear matrix inequalities (LMIs). A numerical example is given to illustrate our approach. [less ▲]

Detailed reference viewed: 80 (2 UL)