Nonlinear model predictive control of the Tennessee Eastman challenge process

Model Predictive Control of Nonlinear Processes

“…These approaches are developing a first principle model using available process knowledge and developing an empirical model from input-output data. The first principle modeling approach results models in the form of coupled nonlinear ordinary differential equations and various model predictive controllers based on this approach have been reported for nonlinear processes (Wright and Edgar, 1994 ;Ricker and Lee, 1995). The first principle models will be larger in size for high dimensional systems thus limiting their usage for MPC design.…”

On the Tracking and Replication of Hedge Fund Optimal Investment Portfolio Strategies in Global Capital Markets in Presence of Nonlinearities, Applying Bayesian Filters: 1. Stratanovich Kalman Bucy Filters for Gaussian Linear Investment Returns Distribution and 2. Particle Filters for Non-Gaussian Non-Linear Investment Returns Distribution

“…, Darlington (1958), Davenport, Root (1958), Sherman (1958), Shinbrot (1958), Smith (1958), Merriam (1959), Stratonovich (1959aStratonovich ( , b, 1960a, Kalman, Koepcke (1958, 1959, Kalman, Bertram (1958, 1959, Kalman (1960aKalman ( , b, 1963, Kalman, Bucy (1961), US Air Forces Office of Scientific Research (1960Research ( -2013, Friedman (1962), Kushner (1967Kushner ( , 2000, Bryson, Ho (1969), Bucy, Joseph (1970), Jazwinski (1970), Sorenson (1970), Wright-Patterson Air Forces Base (1970 -2013), Chow, Lin (1971, 1976, Maybeck (1972Maybeck ( , 1974Maybeck ( , 1990 Farhmeir, Tutz (1994), Grimble (1994), Lee, Ricker (1994), Ricker, Lee (1995), Fuller (1996), Hayes (1996), Haykin (1996), Golub, van Loan (1996), Schwaller, Parnisari (1997), Julier, Uhlmann (1997), Babbs, Nowman (1999) Doran (1992), Tanizaki (1993), Bomhoff (1994), Venegas, de Alba, Ordorica (1995), Roncalli (1996), Roncalli, Weisang (2008), …”

A continuous stirred tank heater simulation model with applications

“…A baseline control system was reported by [24] and the simulation has been widely used for demonstration of advanced control schemes (e.g. [23,30,22,20,40]), and for testing of fault detection and diagnosis schemes, both data driven and model-based [19,12,5,[14][15][16]34]. The original code was written in Fortran, while [29] has made an implementation in Simulink available to other researchers.…”