Gain-scheduled open-loop system design for LPV systems using polynomially parameter-dependent Lyapunov functions

2010 ◽  
Vol 59 (5) ◽  
pp. 265-276 ◽  
Author(s):  
Masayuki Sato
Keyword(s):  
System Design ◽  
Lyapunov Functions ◽  
Open Loop ◽  
Loop System ◽  
Open Loop System ◽  
Lpv Systems ◽  
Parameter Dependent ◽  
Gain Scheduled

Gain-Scheduled H∞-Control for Discrete-Time Polytopic LPV Systems Using Homogeneous Polynomially Parameter-Dependent Lyapunov Functions

2009 ◽  
Vol 42 (6) ◽  
pp. 19-24 ◽  
Author(s):  
Jan De Caigny ◽  
Juan F. Camino ◽  
Ricardo C.L.F. Oliveira ◽  
Pedro L.D. Peres ◽  
Jan Swevers
Keyword(s):  
Discrete Time ◽  
Lyapunov Functions ◽  
Lpv Systems ◽  
Parameter Dependent ◽  
Gain Scheduled

An open-loop system design for deep space signal processing applications

2018 ◽  
Vol 147 ◽  
pp. 259-272
Author(s):  
Jifei Tang ◽  
Lanhua Xia ◽  
Rabi Mahapatra
Keyword(s):  
Signal Processing ◽  
System Design ◽  
Open Loop ◽  
Loop System ◽  
Deep Space ◽  
Open Loop System

H2 analysis for LPV systems by parameter-dependent Lyapunov functions

2011 ◽  
Vol 29 (1) ◽  
pp. 63-78 ◽  
Author(s):  
N. Aouani ◽  
S. Salhi ◽  
M. Ksouri ◽  
G. Garcia
Keyword(s):  
Lyapunov Functions ◽  
Lpv Systems ◽  
Parameter Dependent

Multi-Stage System Identification of a Gas Turbine

2017 ◽  
Author(s):  
Amit Pandey ◽  
Maurício de Oliveira ◽  
Chad M. Holcomb
Keyword(s):  
Gas Turbine ◽  
Closed Loop ◽  
Open Loop ◽  
Loop System ◽  
Closed Loop Control ◽  
Input Output ◽  
Open Loop System ◽  
Loop Control ◽  
Multi Stage ◽  
Identification Techniques

Several techniques have recently been proposed to identify open-loop system models from input-output data obtained while the plant is operating under closed-loop control. So called multi-stage identification techniques are particularly useful in industrial applications where obtaining input-output information in the absence of closed-loop control is often difficult. These open-loop system models can then be employed in the design of more sophisticated closed-loop controllers. This paper introduces a methodology to identify linear open-loop models of gas turbine engines using a multi-stage identification procedure. The procedure utilizes closed-loop data to identify a closed-loop sensitivity function in the first stage and extracts the open-loop plant model in the second stage. The closed-loop data can be obtained by any sufficiently informative experiment from a plant in operation or simulation. We present simulation results here. This is the logical process to follow since using experimentation is often prohibitively expensive and unpractical. Both identification stages use standard open-loop identification techniques. We then propose a series of techniques to validate the accuracy of the identified models against first principles simulations in both the time and frequency domains. Finally, the potential to use these models for control design is discussed.

Fretting Behavior of Coated and Treated Titanium Alloy Using an Open-Loop System

2005 ◽  
Author(s):  
G. R. Yantio Njankeu ◽  
J.-Y. Paris ◽  
J. Denape ◽  
L. Pichon ◽  
J.-P. Rivie`re
Keyword(s):  
Titanium Alloy ◽  
Relative Motion ◽  
High Frequency ◽  
Open Loop ◽  
Loop System ◽  
Test Apparatus ◽  
Open Loop System ◽  
Wear Rates ◽  
Low Wear

Titanium alloys are well known to present poor sliding behaviour and high wear values. Various coatings and treatments have been tested to prevent such an occurrence under fretting conditions at high frequency of displacement (100 Hz). An original test apparatus, using an open-loop system instead of a classical imposed displacement simulator, has been performed to directly display the phenomenon of seizure, defined as the stopping of the relative motion between the contacting elements. A classification of the tested coatings has been proposed on the basis of their capacity to maintain full or partial sliding conditions, to present low wear rates and to prevent seizure.

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