Using hash tables to manage the time-storage complexity in a point location problem: Application to explicit model predictive control

Automatica

Volumn 47, Issue 3, 2011, Pages 571-577

  Bayat, Farhad ^a   Johansen, Tor Arne ^b   Jalali, Ali Akbar ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

Computational complexity; Data structures; Explicit model predictive control; Point location

Indexed keywords

COMPLEXITY GROWTH; COMPUTATIONAL BURDEN; CONTROL LAWS; EXPLICIT MODEL PREDICTIVE CONTROL; FEEDBACK FUNCTIONS; HASH TABLE; LINEAR MODEL; MULTI-PARAMETRIC PROGRAMMING; NUMERICAL EXAMPLE; OFFLINE; ON-LINE EVALUATION; PIECEWISE AFFINES; POINT LOCATION; POINT LOCATION PROBLEMS; SAMPLING TIME; SCALING PARAMETER; STORAGE COMPLEXITY; TRADE OFF;

COMPUTATIONAL COMPLEXITY; DATA STRUCTURES; ECONOMIC AND SOCIAL EFFECTS; FEEDBACK; HASH FUNCTIONS; MODEL PREDICTIVE CONTROL; OPTIMIZATION; STATE FEEDBACK;

PREDICTIVE CONTROL SYSTEMS;

EID: 79952488224     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2011.01.009     Document Type: Article

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