Robust indirect adaptive sliding model control for Wiener nonlinear systems

An Extremum Seeking Strategy Based on Block-Oriented Models: Application to Biomass Productivity Maximization in Microalgae Cultures

(2019) C. G. Feudjio Letchindjio et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Modeling and Control of Wiener Systems Using Multiple Models and Neural Networks: Application to a Simulated pH Process

(2016) Bi Zhang et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

A robust adaptive control method for Wiener nonlinear systems

(2016) Bi Zhang et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

An instrumental least squares support vector machine for nonlinear system identification

(2015) Vincent Laurain et al.   AUTOMATICA

Robust model predictive control of nonlinear processes represented by Wiener or Hammerstein models

(2015) Fatemeh Khani et al.   CHEMICAL ENGINEERING SCIENCE

Adaptive discrete-time sliding-mode control of nonlinear systems described by Wiener models

(2015) Houda Salhi et al.   INTERNATIONAL JOURNAL OF CONTROL

Performance of an Adaptive Controller for the Neuromuscular Blockade Based on Inversion of a Wiener Model

(2014) M. M. Silva et al.   ASIAN JOURNAL OF CONTROL

Discrete-time extremum-seeking for Wiener–Hammerstein plants

(2014) Rohan C. Shekhar et al.   AUTOMATICA

Self-tuning minimum variance control of linear systems followed by saturation nonlinearities in a noisy frame

(2012) Rimantas Pupeikis   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

Robust nonlinear internal model control of stable Wiener systems

(2012) Kwang-Ki Kevin Kim et al.   JOURNAL OF PROCESS CONTROL

Identification of uncertain MIMO Wiener and Hammerstein models

(2011) Silvina Inés Biagiola et al.   COMPUTERS & CHEMICAL ENGINEERING

A Wiener Neural Network-Based Identification and Adaptive Generalized Predictive Control for Nonlinear SISO Systems

(2011) Jinzhu Peng et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Computationally efficient nonlinear predictive control based on neural Wiener models

(2010) Maciej ławryńczuk   NEUROCOMPUTING

Continuous-time Wiener-model predictive control of a pH process based on a PWL approximation

(2009) Simon Oblak et al.   CHEMICAL ENGINEERING SCIENCE

Self-tuning control based on generalized minimum variance criterion for auto-regressive models

(2008) Anna Patete et al.   AUTOMATICA

Enhanced Fuzzy System Models With Improved Fuzzy Clustering Algorithm

(2008) A. Celikyilmaz et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS