Optimization-based hybrid control tools

Bemporad, Alberto; Morari, Manfred

doi:10.1109/acc.2001.945973

Cited by 21 publications

(14 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The standard mixed integer quadratic programming (MIQP) problem (26) can be soh, ed by MIQP Madab toolbox [ 13,14]. Let I u{ (i) } i = 0...., r-1 be the optimum control sequence at current time instant, according to receding horizon strategy of predictive control, and set…”

Section: Ezx Z(t:-l)j' R~ mentioning

confidence: 99%

Multi-model predictive control with local constraints based on model switching

Xue

2005

J. Control Theory Appl.

View full text Add to dashboard Cite

Because model switching system is a typical form of Takagi-Sugeno(T-S) model which is an universal approximator of continuous nonlinear systems, we describe the model switching system as mLxed logical dynamical (MLD) system and use it m model predictive control (MPC) in this paper. Considenng that each local model is only valid in each local region, we add local constraints to local models. The stability of proposed multi-model predictive control (MMPC) algorithm is analyzed, and the performance of MMPC is also denaonstrated on an multi-multi-output(MIMO) simulated pH neuwalization process.

show abstract

Section: Ezx Z(t:-l)j' R~ mentioning

confidence: 99%

Multi-model predictive control with local constraints based on model switching

Xue

2005

J. Control Theory Appl.

View full text Add to dashboard Cite

show abstract

“…For properties like varying dynamics, interactions, nonlinearity and large time delay, the three-tank hybrid system is a benchmark problem. Due to the occurrence of both continuous and discrete dynamics of the system, it is also named as 'Hybrid System' [Branicky, Borkar and Mitter(1998); Bemporad and Morari(1999); Bemporad and Morari(2001)]. The presence of the ON-OFF solenoid valves brings discrete dynamics and continuous dynamics are present in the system inherently.…”

Section: Introductionmentioning

confidence: 99%

Interval Fuzzy Type-II Controller for the Level Control of a Three Tank System

Sahu

Ayyagari

2016

IFAC-PapersOnLine

View full text Add to dashboard Cite

In this paper, real-time experimental as well as simulation results with an interval type-II fuzzy logic systems (IT2FLS) are compared with those of a linear quadratic regulator (LQR) for level control of three-tank hybrid system. First, a linear quadratic regulator controller has been implemented on a realtime system. Then, an intelligent controller using an interval type-II fuzzy logic has been developed and implemented on the interacting system. The IT2FLS controller has been constructed in simulations based on the model of the hybrid system and then tested on the real-time system. Lastly, a comparison between the experimental results of both controllers for the level control are made and comprehensively presented.

show abstract

“…During the past fifteen years, efforts have been made to develop software packages that facilitate the design and implementation of analytical model-based controllers [1][2][3][4][5][6][7][8][9][10]. Controllers that have analytical form and do not require solving an optimization problem are referred to as analytical controllers in this presentation.…”

Section: Introductionmentioning

confidence: 99%

Software for analytical nonlinear controller design

Panjapornpon

Soroush

Seider

2006

2006 American Control Conference

View full text Add to dashboard Cite

This paper presents a new software package that carries out symbolic manipulations to generate automatically analytical, model-based controllers and subsequently test the performance of the designed controller implemented on the process model. The software package has a user-friendly interface that was developed using Visual Basic and linked to MATHEMATICA using MathLink. The user enters the process model (set of ordinary differential and algebraic equations), and the software generates an analytical modelbased controller (set of ordinary differential and algebraic equations), that can be in FORTRAN, C, or MATLAB format. The application and implementation of the software package are shown using a chemical reactor example.

show abstract

Optimization-based hybrid control tools

Cited by 21 publications

References 37 publications

Multi-model predictive control with local constraints based on model switching

Multi-model predictive control with local constraints based on model switching

Interval Fuzzy Type-II Controller for the Level Control of a Three Tank System

Software for analytical nonlinear controller design

Contact Info

Product

Resources

About