Results 281 to 290 of about 4,368,274 (347)

Gain Scheduling Feedback Control for Tower Cranes

Journal of Vibration and Control, 2003
The objective of crane control is to build an algorithm to move a load from point to point in the shortest time without inducing large swings. We assume that this objective cannot be accomplished in less than a single oscillation cycle of the load. Therefore, the controller is built to move the load such that it completes only one oscillation cycle at
Omar, Hanafy M., Nayfeh, Ali H.
openaire   +2 more sources

Analytical Framework for Gain Scheduling

1990 American Control Conference, 1990
A framework for the design of `idealized' gain-scheduled controllers for nonlinear systems is discussed Based on this framework questions are raised, and implications are drawn for `practical' design situations.
openaire   +1 more source

Design of Fuzzy Gain Schedulers

1998
The design of a Takagi-Sugeno fuzzy controller (TSFC) is possible only if a Takagi-Sugeno fuzzy model (TSFM) of the open loop nonlinear system under control is provided. A survey of the relevant publications in this field reveals that a TSFM is either given for granted, or is identified on the basis of input-output data.
R. Palm, D. Driankov
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

An implicit gain-scheduling controller for cranes

IEEE Transactions on Control Systems Technology, 1998
To improve the efficiency of cargo handling with cranes it is necessary to control the crane trolley position so that the swing of the hanging load is minimized. In this paper we consider a linear parameter-varying model of the crane, where the time-varying parameter is the length of the suspending rope.
CORRIGA G., GIUA, ALESSANDRO, USAI G.
openaire   +2 more sources

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

Gain scheduling: from conventional to neuro-fuzzy

Automatica, 1997
Abstract We review the conventional and fuzzy gain scheduling techniques developed so far, and highlight their advantages and problems. The neural network gain scheduling and neuro-fuzzy gain scheduling schemes are then developed. A simulation study is conducted to reveal the new features and the performance improvement of the neurofuzzy gain ...
Tan, S., Hang, C.-C., Chai, J.-S.
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

Analytical framework for gain scheduling

IEEE Control Systems, 1991
The gain scheduling approach to the control of nonlinear systems is explained, and its characteristics are examined. On the basis of this framework questions are raised, and implications are drawn for practical design situations. The relationship between the gain scheduling formulation and the extended-linearization approach for nonlinear control ...
openaire   +1 more source

Active Gain Scheduling: A Collaborative Control Strategy between LPV Plants and Gain Scheduling Controllers

2007 IEEE International Conference on Control Applications, 2007
We propose a new collaborative control strategy between time varying design parameters of the plant and the feedback controller. As the feedback control law we adopt the LMI based gain scheduling control scheme to guarantee the closed-loop L2 gain performance against the variation of the time varying parameter of the control object.
openaire   +1 more source