“…Some similar TV-FOPDT models have also been observed in a number of nonlinear control applications, such as Brazauskas and Levisauskas (2007); Lee et al (1997); Kwok et al (1997); Richard (2003). For instance, the similar model used in Brazauskas and Levisauskas (2007) is called an adaptive transfer function.…”
Section: Introductionmentioning
confidence: 99%
“…This adaptive model is obtained by linearizing the nonlinear dynamic description at each sampling time, so that the system parameters are (sampling) time dependent. Lee et al (1997) proposed a nonlinear FOPDT model by linearizing the nonlinear system at a number of different operating points, so that the system parameters of this type of FOPDT are operating-point dependent. No matter through which way to linearize the considered nonlinear system, both models and modeling approaches request a precise nonlinear system description beforehand.…”
Section: Introductionmentioning
confidence: 99%
“…An on-line identification approach of a time dependent FOPDT is proposed in Kwok et al (1997), by using the so-called long-range predictive identification method. However, due to the technical limitation, the considered unknown time-delay in Lee et al (1997) is classified 13th IFAC Symposium on Large Scale Complex Systems: Theory and Applications Shanghai Jiao Tong University Shanghai, China, July 7-10, 2013 WeB02.2 into four different potential scenarios before converting a nonlinear identification optimization problem into a LeastSquare (LS) problem using the spectral factorization technique.…”
Abstract:A type of Time-Varying First-Order Plus Dead-Time (TV-FOPDT) model is extended from SISO format into a MISO version by explicitly taking the disturbance input into consideration. Correspondingly, a set of on-line parameter identification algorithms oriented to MISO TV-FOPDT model are proposed based on the Mixed-Integer-Nonlinear Programming, Least-MeanSquare and sliding window techniques. The proposed approaches can simultaneously estimate the time-dependent system parameters, as well as the unknown disturbance input if it is the case, in an on-line manner. The proposed concepts and algorithms are firstly illustrated through a numerical example, and then applied to investigate transient superheat dynamic modeling in a supermarket refrigeration system.
“…Some similar TV-FOPDT models have also been observed in a number of nonlinear control applications, such as Brazauskas and Levisauskas (2007); Lee et al (1997); Kwok et al (1997); Richard (2003). For instance, the similar model used in Brazauskas and Levisauskas (2007) is called an adaptive transfer function.…”
Section: Introductionmentioning
confidence: 99%
“…This adaptive model is obtained by linearizing the nonlinear dynamic description at each sampling time, so that the system parameters are (sampling) time dependent. Lee et al (1997) proposed a nonlinear FOPDT model by linearizing the nonlinear system at a number of different operating points, so that the system parameters of this type of FOPDT are operating-point dependent. No matter through which way to linearize the considered nonlinear system, both models and modeling approaches request a precise nonlinear system description beforehand.…”
Section: Introductionmentioning
confidence: 99%
“…An on-line identification approach of a time dependent FOPDT is proposed in Kwok et al (1997), by using the so-called long-range predictive identification method. However, due to the technical limitation, the considered unknown time-delay in Lee et al (1997) is classified 13th IFAC Symposium on Large Scale Complex Systems: Theory and Applications Shanghai Jiao Tong University Shanghai, China, July 7-10, 2013 WeB02.2 into four different potential scenarios before converting a nonlinear identification optimization problem into a LeastSquare (LS) problem using the spectral factorization technique.…”
Abstract:A type of Time-Varying First-Order Plus Dead-Time (TV-FOPDT) model is extended from SISO format into a MISO version by explicitly taking the disturbance input into consideration. Correspondingly, a set of on-line parameter identification algorithms oriented to MISO TV-FOPDT model are proposed based on the Mixed-Integer-Nonlinear Programming, Least-MeanSquare and sliding window techniques. The proposed approaches can simultaneously estimate the time-dependent system parameters, as well as the unknown disturbance input if it is the case, in an on-line manner. The proposed concepts and algorithms are firstly illustrated through a numerical example, and then applied to investigate transient superheat dynamic modeling in a supermarket refrigeration system.
“…It's because this model is useful in simple effective control systems. Besides the usefulness in applications, this model is also preferred because of the effective predict of a wide nonlinear process [34,35]. Hammerstein model is firstly suggested by Narendra and Gallman in 1966 and various models are tested to improve the model [36][37][38][39].…”
“…Rugh 14 proposed nonlinear PI controllers that track Ziegler-Nichols PI control systems for changing set points. Lee et al 15 proposed nonlinear control systems based on parameterized first-order plus time delay process models. Wright et al 16 proposed nonlinear PI controllers based on a nonlinear firstorder model, whose linearized closed-loop systems are the same as internal model control (IMC) PI control systems for given operating points.…”
Well-designed nonlinear proportional-integral (PI) controllers are successful for nonlinear dynamical processes like linear PI controllers are for linear processes. Two nonlinear blocks representing proportional and integral terms can be designed so that the linearized controllers perform the same as linear PI controllers for linearized processes at the given operating points. For some nonlinear processes, nonlinear blocks for nonlinear PI controllers can be singular at some operating points, and control performances can be poor for set points near those points. To mitigate such disadvantages, new nonlinear PI controllers that introduce output transformations are proposed. Several examples are given, showing the performance of the proposed nonlinear PI controllers. V C 2015 American Institute of Chemical Engineers AIChE J, 61: [4264][4265][4266][4267][4268][4269] 2015
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