| Springer Nature Switzerland AG

160,490원  | 20220605  | 9783030474386

This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. In the past, nonlinear system identification was a field characterized by a variety of ad-hoc approaches, each applicable only to a very limited class of systems.

John Wiley & Sons  | John Wiley & Sons

213,700원  | 20160601  | 9781119943594

This book helps practitioners and researchers find ways to solve difficult nonlinear system identification problems using the well-established NARMAX method. It is a description of a class of system identification algorithms that can be used to identify nonlinear dynamic models from recorded data.

 | KS OmniScriptum Publishing

194,760원  | 20091129  | 9783639219746

The work documented in this book presents a new, efficient and systematic approach to the identification of nonlinear dynamic systems using Wavelet based State Dependent Parameter (SDP) models, from structure determination to parameter estimation. In this approach, the system's nonlinearities are analyzed and effectively represented by a SDP model structure in the form of wavelets.

Giri, Fouad  | Springer Verlag

250,180원  | 20100925  | 9781849965125

Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium. The book makes a pedagogical and cohesive presentation of the methods developed in that time. These include: iterative and over-parameterization techniques; stochastic and frequency approaches; support-vector-machine, subspace, and separable-least-squares methods; blind identification method; bounded-error method; and decoupling inputs approach.

 | LAP Lambert Academic Publishing

70,970원  | 20200412  | 9786202522649

Two Tank Conical Interacting (TTCIS) is a non-linear MIMO system (i.e. level process). The process industries require liquids to be pumped as well as stored in tanks and then pumped to another tank. Most of the time the liquid will be processed by chemical or mixing treatment in the tanks, but the level of the liquid in the tank to be controlled at some desired value and the flow between tanks must be regulated.

Sastry, Shankar  | Springer

170,440원  | 20081210  | 9780387985138

Deng, Jiamei  | KS OmniScriptum Publishing

150,200원  | 20110214  | 9783844300093

Model predictive control (MPC) is an important industrial control technique. Most conventional MPC schemes use linear models. However, the use of linear models can result in a serious deterioration of control performance with many types of nonlinear plants. Feedback linearisation is an important nonlinear control technique which can transform a nonlinear system into a linear system.

 | KS OmniScriptum Publishing

110,580원  | 20110921  | 9783846503751

It is always a concern of control system designers with regards to the type of controller used to stabilize and control the dynamic behavior of their potential nonlinear application. While nonlinear controller design would be favorable for them, the control of a highly nonlinear plant using a linear controller is possible if the method of synthesizing the linear controller considers two plant characterizations that correspond to upper and lower operating regimes of the nonlinear plant.

 | Kluwer

0원  | 99991230  | 9780792358565

Ogunfunmi, Tokunbo  | Springer

0원  | 20070930  | 9780387263281

Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches introduces engineers and researchers to the field of nonlinear adaptive system identification. The book includes recent research results in the area of adaptive nonlinear system identification and presents simple, concise, easy-to-understand methods for identifying nonlinear systems. These methods use adaptive filter algorithms that are well known for linear systems identification. They are applicable for nonlinear systems that can be efficiently modeled by polynomials. After a brief introduction to nonlinear systems and to adaptive system identification, the author presents the discrete Volterra model approach. This is followed by an explanation of the Wiener model approach. Adaptive algorithms using both models are developed. The performance of the two methods are then compared to determine which model performs better for system identification applications. Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches is useful to graduates students, engineers and researchers in the areas of nonlinear systems, control, biomedical systems and in adaptive signal processing.

Nelles, Oliver  | Springer

0원  | 20001106  | 9783540673699

 | Springer

265,810원  | 19991001  | 9780792358589

 | KS OmniScriptum Publishing

127,090원  | 20121204  | 9783659298998

The first part of this book is focused on the design of a compass robot as a nonlinear dynamics system. Three components including robot's structure, gear and motor are interacting during design process to achieve better performance, higher stability and lower cost. After achieving the design method, different actuators are selected for a given structure and the their performance are compared in the terms of cost, efficiency and their effect on the performance.

 | Editorial Academica Espanola

77,570원  | 20180905  | 9783659078040

The author have found that differential equations provide an inexhaustible source of results and interesting and sometimes surprising phenomena. We hope that the users of this book, both students as well as teachers, will share our enthusiasm for the subject.

 | KS OmniScriptum Publishing

146,890원  | 20130306  | 9783659358746

Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural network, which is smaller, faster and with a better generalization performance. This book is my effort to mainly showcase the capability of time series prediction using neural network approach to predict complex Nonlinear datasets for forecasting. Experiments were carried out on Netflow series.