Nonlinear system identification employing automatic differentiation
نویسندگان
چکیده
منابع مشابه
Nonlinear System Identification for Predictive Control using Continuous Time Recurrent Neural Networks and Automatic Differentiation
In this paper, a continuous time recurrent neural network (CTRNN) is developed to be used in nonlinear model predictive control (NMPC) context. The neural network represented in a general nonlinear statespace form is used to predict the future dynamic behavior of the nonlinear process in real time. An efficient training algorithm for the proposed network is developed using automatic differentia...
متن کاملAutomatic Differentiation of Nonlinear AMPL Models
We describe favorable experience with automatic differentiation of mathematical programming problems expressed in AMPL, a modeling language for mathematical programming. Nonlinear expressions are translated to loop-free code, which makes analytically correct gradients and Jacobians particularly easy to compute — static storage allocation suffices. The nonlinear expressions may either be interpr...
متن کاملAutomatic Car Identification System
Automatic car identification is very useful in traffic monitoring and control access applications that make it become relevant in recent years as a result of increased security awareness. Several computer systems were proposed to identify cars via different features such car plate recognition, car front view features, etc. Vision based car Make and Model Recognition (MMR) can overcome some limi...
متن کاملNonlinear-Adaptive Mathematical System Identification
By reversing paradigms that normally utilize mathematical models as the basis for nonlinear adaptive controllers, this article describes using the controller to serve as a novel computational approach for mathematical system identification. System identification usually begins with the dynamics, and then seeks to parameterize the mathematical model in an optimization relationship that produces ...
متن کاملReasoning about nonlinear system identification
System identification is the process of deducing a mathematical model of the internal dynamics of a system from observations of its outputs. The computer program PRET automates this process by building a layer of artificial intelligence (AI) techniques around a set of traditional formal engineering methods. PRET takes a generate-and-test approach, using a small, powerful meta-domain theory that...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Communications in Nonlinear Science and Numerical Simulation
سال: 2013
ISSN: 1007-5704
DOI: 10.1016/j.cnsns.2013.02.017