The aim of this work is to compare several of the commercial dynamic models for batch distillation available worldwide. In this context, BATCHFRAC™, CHEMCAD™ BATCH, and HYSYS.Plant ® software performances are compared to experimental... more
In this research, the researchers have managed to design a model to investigate the current trend of stock price of the "IRAN KHODRO corporation" at Tehran Stock Exchange by utilizing an Adaptive Neuro - Fuzzy Inference system.... more
Given a complex first principles model of a process, a strategy for model complexity reduction is developed, such that the model obtained is suitable for process control. The system is assumed to have a Volterra representation that can be... more
O presente artigo apresenta uma visão geral do estado da arte na área de identificação de sistemas utilizando modelos dinâmicos com estrutura desenvolvida através de bases de funções ortonormais, como as funções de Laguerre, Kautz ou... more
A new algorithm for identification of discrete time Hybrid Systems in the Piece-Wise Affine (PWA) form is introduced. This problem involves the estimation of both the parameters of the affine submodels and the partition of the PWA map... more
The in-situ conservation of metallic artefacts of artistic and historic interest is a scientific challenge. The characterization of surface conditions of the artefacts is mandatory to estimate the effect of the atmospheric corrosion on... more
In this paper we focus on the identification of discretetime hybrid systems in the Piece-Wise Affine (PWA) form. This problem can be formulated as the reconstruction of a possibly discontinuous PWA map with a multi-dimensional domain. In... more
In this paper we focus on the identification of discretetime hybrid systems in the Piece-Wise Affine (PWA) form. This problem can be formulated as the reconstruction of a possibly discontinuous PWA map with a multi-dimensional domain. In... more
As power requirements increase, multiphase induction machines (MPIMs) present a promising alternative to conventional three-phase induction machines. These machines help reduce the current switched by the inverter and circulating through... more
A new adaptive orthogonal search (AOS) algorithm is proposed for model subset selection and nonlinear system identification. Model structure detection is a key step in any system identification problem. This consists of selecting... more
A new adaptive orthogonal search (AOS) algorithm is proposed for model subset selection and nonlinear system identification. Model structure detection is a key step in any system identification problem. This consists of selecting... more
Identiÿcation results for the shaft-speed dynamics of an aircraft gas turbine, under normal operation, are presented. As it has been found that the dynamics vary with the operating point, nonlinear models are employed. Two di erent... more
thrust vectoring control system input uncertainty weighting time domain data time-frequency domain data input and output data for spectral estimates parametric variation of dynamic pressure input multiplicative uncertainty real parametric... more
The authors would like to thank the NASA Dryden employees and associates who voluntarily served on a technical review committee to evaluate and improve this paper. This committee was chaired by Larry Freudinger and staffed by Mark... more
A model-based Functional Electrical Stimulation (FES) would be very helpful for the adaptive movement synthesis of spinal-cord-injured patients. The nonlinearity of the neuromuscular system can be captured through modeling and... more
In this paper describing functions inversion is used and the restoring force of a nonlinear element in a MDOF system is characterized. The describing functions can be obtained using linearized frequency response functions (FRFs). The... more
In this paper describing functions inversion is used and the restoring force of a nonlinear element in a MDOF system is characterized. The describing functions can be obtained using linearized frequency response functions (FRFs). The... more
Quasi-Z-source converters (QZSC) are gaining popularity because they operate in a single stage, use smaller components, and maintain continuous input current with a common ground. This converter is widely used in various applications that... more
The aim of this work is to compare several of the commercial dynamic models for batch distillation available worldwide. In this context, BATCHFRAC™, CHEMCAD™ BATCH, and HYSYS.Plant ® software performances are compared to experimental... more
Nesta dissertacao e proposta uma metodologia para identificacao sistemas dinâmicos multivariaveis baseada em modelo neuro-fuzzy no espaco de estados com inferencia evolutivo tipo-2 intervalar. A metodologia proposta apresenta um algoritmo... more
In this paper we focus on the identification of discretetime hybrid systems in the Piece-Wise Affine (PWA) form. This problem can be formulated as the reconstruction of a possibly discontinuous PWA map with a multi-dimensional domain. In... more
An adaptive approach is presented to investigate, on a beat-to-beat basis, the response to heart rate variations of the QT interval and the T wave amplitude (T a). The relationship between each repolarization index and the RR interval is... more
Purpose-The paper aims to present an overview of techniques for the identification in the frequency domain of reduced order models for distributed passive electromagnetic structures. Design/methodology/approach-Most known approaches... more
In this paper we focus on identification and time optimal control of nonlinear processes modeled as piecewise affine systems. We combine the piecewise ARX process model identification based on clustering and the constrained time optimal... more
This paper studies the problem of constructing robust classifiers when the training is plagued with uncertainty. The problem is posed as a Chance-Constrained Program (CCP) which ensures that the uncertain datapoints are classified... more
Building simulation programs normally do not take into account moisture effects in soils temperature determination. However, the presence of humidity can strongly affect the temperature distribution in soils due especially to the... more
The problem of black box identification of a linear ME\-IO model for a distillation column is considered and two identification algorithms are compared , namely the prediction error minimization method for the estimation of I /0 models... more
A nonlinear identification methodology founded upon NARMAX model descriptions is presented. The methodology is applied to the modelling of a pilot-scale parallel-tube heat exchanger. Results of the identification study are presented, and... more
This paper presents some new analytical results on the global stability for a general class of discretetime state-space neural networks by using the Lyapunov stability theory and the contraction mapping theorem. The proposed stability... more
The known positive relationship between earnings and education is challenged through advocacy of expected and actual earnings prospects. Outlines of one-factor homogeneous and multi-factor heterogeneous models are presented without... more
This paper is devoted to the problem of model building from data produced by a nonlinear dynamical system. Unlike most published works that address the problem from a black-box perspective, in the present paper a procedure is developed... more
This paper proposes a new type of PID controller. The desired multi input-multi-output (MIMO) nonlinear system behavior is described by a set of Takagi-Sugeno (T-S) model. However, due to the complexity of the real processes, obtaining a... more
⎯This paper presents a CDM-backstepping strategy for motion control of Electrically-driven manipulator under the conditions of uncertainty and the action of external disturbance, while incorporating a nonlinear observer. Based on this... more
The problem of controlling single-phase shunt active power filter is addressed in presence of nonlinear loads. The control objective is twofold: (i) compensation of harmonic and reactive currents absorbed by the nonlinear load; (ii)... more
All systems found in nature exhibit, with different degrees, a nonlinear behavior. To emulate this behavior, classical systems identification techniques use, typically, linear models, for mathematical simplicity. Models inspired by... more
In this paper, we propose a novel method for the real-time identification and simultaneous order estimation of a class of piecewise linear systems, namely jump-linear systems. The parameters, orders and time instances of switching are... more
A new bounded-error approach for the identification of discrete time hybrid systems in the Piece-Wise Affine (PWA) form is introduced. The PWA identification problem involves the estimation of the number of affine submodels, the... more
A new algorithm for identification of discrete time Hybrid Systems in the Piece-Wise Affine (PWA) form is introduced. This problem involves the estimation of both the parameters of the affine submodels and the partition of the PWA map... more
Parameter estimation of an autoregressive moving average (ARMA) model is discussed in this paper by using bounding approach. Bounds on the model structure error are assumed unknown, or known but conservative. To reduce this conservatism,... more
This paper addresses the problem of modeling and identification of the Depth of Anaesthesia (DoA). It presents a new MISO Wiener model for the pharmacokinetics and pharmacodynamics of propofol and remifentanil, when jointly administered... more
The problem of controlling induction motors, together with associated AC/DC rectifiers and DC/AC inverters, is addressed. The control objectives are threefold: (i) the motor speed should track any reference signal despite mechanical... more
we are considering the problem of controlling wind turbine synchronous generators driven through AC/DC rectifiers and DC/AC inverters. The control objectives are threefold: (i) forcing the turbine speed to track a reference signal, (ii)... more
The problem of controlling induction motors, together with associated AC/DC rectifiers and DC/AC inverters, is addressed. The control objectives are threefold: (i) the motor speed should track any reference signal despite mechanical... more
The paper studies the motion of transportation machine with packages on uneven road. Conditions of transportation that reduce the influence of harmful vibrations to the packages are determined. For this purpose the region was established... more
The paper studies the motion of transportation machine with packages on uneven road. Conditions of transportation that reduce the influence of harmful vibrations to the packages are determined. For this purpose the region was established... more
An Aeroelastic Prediction Workshop (AePW) was held in April 2012 using three aeroelasticity case study wind tunnel tests for assessing the capabilities of various codes in making aeroelasticity predictions. One of these case studies was... more
Non linear normal modes offer a rigorous framework, both mathematical and physical, for theoretical and experimental dynamical analysis. Albeit still in its infancy, the concept of non linear normal modes has the potential of providing to... more
Experimental and Numerical Study of Structural Identification Using Non-Linear Resonant Decay Method
One of the practical approaches in identifying structures is the nonlinear resonant decay method which identifies a non-linear dynamic system utilizing a model based on linear modal space containing the underlying linear system and a... more