Linear parameter varying modeling and identification for real-time control of open-flow irrigation canals

2014 ◽  
Vol 53 ◽  
pp. 87-97 ◽  
Author(s):  
Yolanda Bolea ◽  
Vicenç Puig ◽  
Joaquim Blesa
Keyword(s):  
Real Time ◽  
Linear Parameter ◽  
Irrigation Canals ◽  
Real Time Control ◽  
Linear Parameter Varying ◽  
Open Flow ◽  
Time Control ◽  
Parameter Varying

scholarly journals Asynchronous finite-time control for networked switched linear parameter-varying systems via an event-triggered communication scheme

2018 ◽  
Vol 233 (1) ◽  
pp. 44-57
Author(s):  
Hangli Ren ◽  
Guangdeng Zong
Keyword(s):  
Finite Time ◽  
Sufficient Conditions ◽  
Linear Parameter ◽  
Input Output ◽  
Linear Parameter Varying ◽  
Linear Parameter Varying Systems ◽  
Time Control ◽  
Communication Scheme ◽  
Parameter Varying ◽  
Event Triggered

This article addresses the finite-time control problem for a class of switched linear parameter-varying systems via an event-triggered communication scheme. Different from the existing finite-time problems, not only the problem of finite-time boundedness but also the problem of input-output finite-time stability is considered in this article. Using an asynchronous switching scheme, sufficient conditions are established to guarantee the event-based closed-loop systems are both finite-time bounded and input-output finite-time stable. Then, a parameter-dependent asynchronous controller is designed by solving a set of linear matrix inequalities. Finally, a numerical example is presented to show the effectiveness of the result.

scholarly journals Real-Time Predictive Control for SI Engines Using Linear Parameter-Varying Models

2015 ◽  
Vol 48 (23) ◽  
pp. 94-101 ◽  
Author(s):  
Pawel Majecki ◽  
Gerrit M. van der Molen ◽  
Michael J. Grimble ◽  
Ibrahim Haskara ◽  
Yiran Hu ◽  
...  
Keyword(s):  
Real Time ◽  
Predictive Control ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Si Engines ◽  
Parameter Varying

scholarly journals Real Time Stabilization of Lipschitz Nonlinear Systems with Nonlinear Output

2020 ◽  
Vol 53 (4) ◽  
pp. 493-498
Author(s):  
Assem Thabet ◽  
Ghazi Bel Haj Frej ◽  
Noussaiba Gasmi ◽  
Brahim Metoui
Keyword(s):  
Nonlinear Systems ◽  
Real Time ◽  
Nonlinear Function ◽  
Mean Value ◽  
Mean Value Theorem ◽  
Linear Matrix ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Lipschitz Nonlinear Systems ◽  
Parameter Varying

This brief discusses a simple stabilization strategy for a class of Lipschitz nonlinear systems based on the transformation of nonlinear function to Linear Parameter Varying system. Due to the introduction of the Differential Mean Value Theorem (DMVT), the dynamic and output nonlinear functions are transformed into Linear Parameter Varying (LPV) functions. This allows to increase the number of decision variables in the constraint to be resolved and, then, get less conservative and more general Linear Matrix Inequality (LMI) conditions. The established sufficient stability conditions are in the form of LMI with the introduction of a cost control to ensure closed-loop stability. Finally, Real Time Implementation (RTI) using a DSP device (ARDUINO UNO R3) to a typical robot is given to illustrate the performances of the proposed method with a comparison to some existing results.

Model identification and real-time implementation of a linear parameter–varying control scheme on lab-based inverted pendulum system

2020 ◽  
Vol 235 (1) ◽  
pp. 30-38
Author(s):  
Anila Barkat ◽  
Mirza Tariq Hamayun ◽  
Salman Ijaz ◽  
Saleem Akhtar ◽  
Ejaz Ahmad Ansari ◽  
...  
Keyword(s):  
Real Time ◽  
Virtual Instrument ◽  
Inverted Pendulum ◽  
Step Response ◽  
Linear Parameter ◽  
Pendulum System ◽  
Linear Parameter Varying ◽  
Inverted Pendulum System ◽  
Linear Parameter Varying Control ◽  
Parameter Varying

To research the tendencies of immediate change in the scheduled parameters, a linear parameter–varying control strategy is made in real time for lab-based inverted pendulum system. An adjusted and observing virtual instrument is designed in LabVIEW to construct this mechanism. To obtain the transient response data, a step response is transmitted by virtual instrument to the inverted pendulum by which model of inverted pendulum is identified. System model depicts its characteristics, so this model is employed in designing controller. To improve the performance and robustness, linear parameter–varying controller is created to deal with parameter distinctions. Furthermore, the effectiveness of this designed robust controller is checked by integrating on hardware system. The discovered model is checked by evaluating the presented approaches in real time and simulation outcomes with traditional controller as proportional–integral–derivative controller and linear–quadratic regulator.

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