Gain-scheduled control based on linear parameter-varying (LPV) models derived from local linearizations is a widespread nonlinear technique for tracking time-varying setpoints. Recently, a nonlinear control scheme based on Control Contraction Metrics (CCMs) has been developed to track arbitrary admissible trajectories. This paper presents a comparison study of these two approaches. We show that the CCM based approach is an extended gain-scheduled control scheme which achieves global reference-independent stability and performance through an exact control realization which integrates a series of local LPV controllers on a particular path between the current and reference states.</p
We present in this paper gain-scheduling composite nonlinear feedback (CNF) control for a set of sec...
Abstract—The paper considers a general approach for gain scheduling of Lipschitz continuous nonlinea...
Gain scheduling (GS) is one of the most popular approaches to nonlinear control design and it is kno...
Gain-scheduled control based on linear parameter-varying (LPV) models derived from local linearizati...
On guaranteeing tracking performance and stability with LPV control for nonlinear systems 1 Gustavo ...
Combining predictive control, LPV (Linear Parameter Varying) embedding and gain-scheduling ideas, ne...
This paper addresses the gain-scheduling control design for nonlinear systems to achieve output regu...
In recent years the interest for gain scheduling methods has increased. Gain scheduling is a collect...
In the last decades, gain-scheduling control techniques have consolidated as an efficient answer to ...
In this article, we present a virtual control contraction metric (VCCM) based nonlinear parameter-va...
This paper extends existing results on a technique for gain-scheduled, L 2 -gain control of linear p...
In this paper, a new gain-scheduling control design approach is proposed by combining LPV (linear pa...
Gain scheduling has proven to be a successful design methodology in many engineering applications. T...
Gain scheduling (GS) is one of the most popular approaches to nonlinear control design and it is kno...
In the last decades, gain-scheduling control techniques have consolidated as an efficient answer to ...
We present in this paper gain-scheduling composite nonlinear feedback (CNF) control for a set of sec...
Abstract—The paper considers a general approach for gain scheduling of Lipschitz continuous nonlinea...
Gain scheduling (GS) is one of the most popular approaches to nonlinear control design and it is kno...
Gain-scheduled control based on linear parameter-varying (LPV) models derived from local linearizati...
On guaranteeing tracking performance and stability with LPV control for nonlinear systems 1 Gustavo ...
Combining predictive control, LPV (Linear Parameter Varying) embedding and gain-scheduling ideas, ne...
This paper addresses the gain-scheduling control design for nonlinear systems to achieve output regu...
In recent years the interest for gain scheduling methods has increased. Gain scheduling is a collect...
In the last decades, gain-scheduling control techniques have consolidated as an efficient answer to ...
In this article, we present a virtual control contraction metric (VCCM) based nonlinear parameter-va...
This paper extends existing results on a technique for gain-scheduled, L 2 -gain control of linear p...
In this paper, a new gain-scheduling control design approach is proposed by combining LPV (linear pa...
Gain scheduling has proven to be a successful design methodology in many engineering applications. T...
Gain scheduling (GS) is one of the most popular approaches to nonlinear control design and it is kno...
In the last decades, gain-scheduling control techniques have consolidated as an efficient answer to ...
We present in this paper gain-scheduling composite nonlinear feedback (CNF) control for a set of sec...
Abstract—The paper considers a general approach for gain scheduling of Lipschitz continuous nonlinea...
Gain scheduling (GS) is one of the most popular approaches to nonlinear control design and it is kno...