DocumentCode :
646395
Title :
Case-study based performance assessment of an event-triggered MPC scheme for freeway systems
Author :
Ferrara, A. ; Nai Oleari, Alberto ; Sacone, Simona ; Siri, Silvia
Author_Institution :
Dept. of Electr., Comput. & Biomed. Eng., Univ. of Pavia, Pavia, Italy
fYear :
2013
fDate :
17-19 July 2013
Firstpage :
4027
Lastpage :
4032
Abstract :
The paper is aimed at the definition of an efficient control framework for freeway systems. To this end, a Model Predictive Control scheme based on the cell transmission model is adopted in which the considered control action refers to ramp metering. Two major aspects characterize the paper. First, the prediction model is formulated as a mixed logical dynamical system (i.e. it is described by linear dynamic equations and linear inequalities in which both real and integer variables are involved) in order to obtain a finite-horizon optimal control problem with the structure of a mixed-integer quadratic programming problem. In such a problem the objective function quadratically penalizes the deviation of the state variables from a specific equilibrium point. Secondly, an event-triggered scheme is used to further reduce the computational load of the control scheme making it more adequate for real applications. Numerical results based on data coming from a real case study relevant to Grenoble South Ring are also presented and discussed.
Keywords :
integer programming; linear systems; optimal control; predictive control; quadratic programming; road traffic; Grenoble South Ring; case-study based performance assessment; cell transmission model; computational load; control framework; equilibrium point; event-triggered MPC scheme; event-triggered scheme; finite-horizon optimal control problem; freeway systems; integer variables; linear dynamic equations; linear inequalities; mixed logical dynamical system; mixed-integer quadratic programming problem; model predictive control; objective function; prediction model; ramp metering; state variables; Convergence; Indexes; Mathematical model; Optimal control; Predictive models; Standards; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2013 European
Conference_Location :
Zurich
Type :
conf
Filename :
6669805
Link To Document :
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