Robust model predictive control of nonlinear systems with unmodeled dynamics and bounded uncertainties based on neural networks

IEEE Transactions on Neural Networks and Learning Systems

Volumn 25, Issue 3, 2014, Pages 457-469

  Yan, Zheng ^a   Wang, Jun ^a,b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Extreme learning machine (ELM); real time optimization; recurrent neural networks (RNNs); robust model predictive control (MPC); unmodeled dynamics

Indexed keywords

EXTREME LEARNING MACHINE; REAL-TIME OPTIMIZATION; RECURRENT NEURAL NETWORK (RNNS); ROBUST MODEL PREDICTIVE CONTROL; UNMODELED DYNAMICS;

ITERATIVE METHODS; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; LINEARIZATION; MODEL PREDICTIVE CONTROL; NONLINEAR SYSTEMS; OPTIMIZATION; RECURRENT NEURAL NETWORKS; ROBUST CONTROL;

PREDICTIVE CONTROL SYSTEMS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; NONLINEAR SYSTEM; TIME; UNCERTAINTY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; TIME FACTORS; UNCERTAINTY;

EID: 84897626373     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2013.2275948     Document Type: Article

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