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A velocity algorithm for the implementation of gain-scheduled controllers

Automatica, 1995
Gain-scheduled controllers are effective means of controlling performances of dynamical systems which operate over a wide range of operating conditions. This paper presents a velocity (D-method) algorithm for implementation of gain-scheduled controllers for nonlinear plants.
Isaac Kaminer   +3 more
openaire   +4 more sources

Experimental Validation of a Torque-Controlled Variable Stiffness Actuator Tuned by Gain Scheduling

IEEE/ASME transactions on mechatronics, 2018
A variable stiffness actuator (VSA) is an inherently parameter-dependent system due to the controllable stiffness element. Within the torque-controlled framework, the VSA is distinguished from the classical series elastic actuator (SEA).
Lin Liu, S. Leonhardt, B. Misgeld
semanticscholar   +1 more source

A Pragmatic Approach to Robust Gain Scheduling

IFAC Proceedings Volumes, 2012
Abstract An input-output approach to gain scheduling is proposed using a structure that is motivated by the Youla-Kucera parameterization of stabilizing controllers. We present the design in terms of a tradeoff between model uncertainty and aggressiveness of the controller.
openaire   +1 more source

Gain-scheduled control synthesis by using filtered scheduling parameters

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009
This paper is concerned with design of gain-scheduled (GS) controllers that depend on filtered scheduling parameters. One of the most sophisticated design method, which is based on parameter-dependent Lyapunov matrices, ends up with GS controllers involving differentiation of the scheduling parameter.
Izumi Masubuchi, Iori Kurata
openaire   +1 more source

1DOF Gain Scheduled PH Control Of CSTR

ECMS 2017 Proceedings edited by Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics, 2017
Ministry of Education of the Czech Republic under grant IGA [IGA/FAI/2017/009]
Krhovják, Adam   +2 more
openaire   +2 more sources

Gain Scheduling and Adaptation

2011
This chapter introduces gain-scheduling and linear-parameter-varying techniques to address plant variability across the flight envelope. This chapter also introduces the concept of adaptive control and presents a basic model-reference adaptive control design.
openaire   +1 more source

Gain scheduled luenberger observers for microalgal cultures

2014 European Control Conference (ECC), 2014
Monitoring of microalgal processes is delicate due to the lack of on-line sensors, except for a few variables such as biovolume. In this study, software sensors are designed to reconstruct variables such as the internal nitrogen quota, whose follow-up is important when considering the production of lipids.
Benavides Castro, Micaela   +4 more
openaire   +2 more sources

Background on Gain-Scheduling

2017
After World War II, the development of advanced jet aircrafts, the advent of guided missiles and the need of stability and performance requirements for a wide set of operating conditions pushed towards a rapid adoption of gain scheduled autopilot systems [1].
openaire   +1 more source

Iterative Learning Fuzzy Gain Scheduler

2008
Humans learn from experience and from repeating a task again and again. This paper uses this human capability to iteratively adjust fuzzy membership functions. These learnt membership functions are used to schedule the gain of a conventional proportional controller.
Suhail Ashraf, Ejaz Muhammad
openaire   +1 more source

LPV models: Identification for gain scheduling control

2001 European Control Conference (ECC), 2001
In this paper the use of discrete-time Linear Parameter Varying (LPV) models for the gain scheduling control and identification methods for non-linear or time-varying system is considered. We report an overview on the existing literature on LPV systems for gain scheduling control and identification.
B. BAMIEH, GIARRÈ, Laura
openaire   +2 more sources

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