4,118 research outputs found
Identification of lti time-delay systems with missing output data using GEM algorithm
This paper considers the parameter estimation for linear time-invariant (LTI) systems in an input-output setting with output error (OE) time-delay model structure. The problem of missing data is commonly experienced in industry due to irregular sampling, sensor failure, data deletion in data preprocessing, network transmission fault, and so forth; to deal with the identification of LTI systems with time-delay in incomplete-data problem, the generalized expectation-maximization (GEM) algorithm is adopted to estimate the model parameters and the time-delay simultaneously. Numerical examples are provided to demonstrate the effectiveness of the proposed method. © 2014 Xianqiang Yang and Hamid Reza Karimi
Introduction to fundamental design and automation technologies in offshore robotics
Fundamental Design and Automation Technologies in Offshore Robotics introduces technological design, modelling, stability analysis, control synthesis, filtering problem and real time operation of robotics vehicles in offshore environments.
The book gives numerical and simulation results in each chapter to reflect the engineering practice yet demonstrate the focus of the developed analysis and synthesis approaches. The book is ideal to be used as a reference book for senior and graduate students. It is written in a way that the presentation is simple, clear, and easy to read and understand which would be appreciated by graduate students. Researchers working on marine vehicles and robotics would be able to find reference material on related topics from the book.
The book could be of a significant interest to the researchers within offshore and deep see society, including both academic and industrial parts
Fault detection, isolation, and tolerant control of vehicles using soft computing methods
Hamid Reza Karimi, Mohammed Chadli, Peng Shi, Lixian Zhan
Optimal design of an electro-hydraulic valve for heavy-duty vehicle clutch actuator with certain constraints
Abstract not availableFei Meng, Peng Shi, Hamid Reza Karimi, Hui Zhan
Experimental study on antivibration control of electrical power steering systems
We focus on the antivibration controller design problem for electrical power steering (EPS) systems. The EPS system has significant advantages over the traditional hydraulic steering system. However, the improper motor controller design would lead to the steering wheel vibration. Therefore, it is necessary to investigate the antivibration control strategy. For the implementation study, we also present the motor driver design and the software design which is used to monitor the sensors and the control signal. Based on the investigation on the regular assistant algorithm, we summarize the difficulties and problems encountered by the regular algorithm. After that, in order to improve the performance of antivibration and the human-like steering feeling, we propose a new assistant strategy for the EPS. The experiment results of the bench test illustrate the effectiveness and flexibility of the proposed control strategy. Compared with the regular controller, the proposed antivibration control reduces the vibration of the steering wheel a lot. © 2014 Zhaojian Wang and Hamid Reza Karimi
Quality-related fault detection and diagnosis: a technical review and summary
Quality-related fault detection and diagnosis (QrFDD) is an emerging research subject in the field of multivariate statistical process monitoring and has received great attention from academia and industry in recent years. Compared with traditional multivariate statistical process monitoring methods, QrFDD methods can decompose the process variable space into orthogonal subspaces according to the correlation between input and output so that faults affecting output and faults that do not affect output can be diagnosed in different subspaces. Thanks to this feature, the QrFDD methods have important application values in reducing unnecessary maintenance time and costs, as well as improving production efficiency. Since the decade so far proposed, many outstanding research results have been produced; however, the technical route and implementation algorithm of these achievements are not all the same. In this chapter, we will conduct a technical review and summary of the classical achievements, including their principles, implementation algorithms, technical advantages, and defects. At the same time, we will introduce some of our latest research results and look forward to the future development trend of QrFDD from the perspectives of technology and demand
Advanced stochastic control systems with engineering applications
EditorialMing Liu, Peng Shi, Hamid Reza Karimi, Shen Yin, and Xiaojie S
Stability in mean of partial variables for coupled stochastic reaction-diffusion systems on networks: A graph approach
This paper is devoted to investigating stability in mean of partial variables for coupled stochastic reaction-diffusion systems on networks (CSRDSNs). By transforming the integral of the trajectory with respect to spatial variables as the solution of the stochastic ordinary differential equations (SODE) and using Itô formula, we establish some novel stability principles for uniform stability in mean, asymptotic stability in mean, uniformly asymptotic stability in mean, and exponential stability in mean of partial variables for CSRDSNs. These stability principles have a close relation with the topology property of the network. We also provide a systematic method for constructing global Lyapunov function for these CSRDSNs by using graph theory. The new method can help to analyze the dynamics of complex networks. An example is presented to illustrate the effectiveness and efficiency of the obtained results. © 2014 Yonggui Kao and Hamid Reza Karimi
Mathematical modeling, analysis, and advanced control of complex dynamical systems
EditorialPeng Shi, Hamid Reza Karimi, Xiaojie Su, Rongni Yang, and Yuxin Zha
- …
