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相關主題
商品描述
STATE FEEDBACK CONTROL AND KALMAN FILTERING WITH MATLAB/SIMULINK TUTORIALS
Discover the control engineering skills for state space control system design, simulation, and implementation
State space control system design is one of the core courses covered in engineering programs around the world. Applications of control engineering include things like autonomous vehicles, renewable energy, unmanned aerial vehicles, electrical machine control, and robotics, and as a result the field may be considered cutting-edge. The majority of textbooks on the subject, however, lack the key link between the theory and the applications of design methodology.
State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials provides a unique perspective by linking state space control systems to engineering applications. The book comprehensively delivers introductory topics in state space control systems through to advanced topics like sensor fusion and repetitive control systems. More, it explores beyond traditional approaches in state space control by having a heavy focus on important issues associated with control systems like disturbance rejection, reference tracking, control signal constraint, sensor fusion and more. The text sequentially presents continuous-time and discrete-time state space control systems, Kalman filter and its applications in sensor fusion.
State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials readers will also find:
- MATLAB and Simulink tutorials in a step-by-step manner that enable the reader to master the control engineering skills for state space control system design and Kalman filter, simulation, and implementation
- An accompanying website that includes MATLAB code
- High-end illustrations and tables throughout the text to illustrate important points
- Written by experts in the field of process control and state space control systems
State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials is an ideal resource for students from advanced undergraduate students to postgraduates, as well as industrial researchers and engineers in electrical, mechanical, chemical, and aerospace engineering.
商品描述(中文翻譯)
《STATE FEEDBACK CONTROL AND KALMAN FILTERING WITH MATLAB/SIMULINK TUTORIALS》
掌握狀態回饋控制和卡爾曼濾波的控制工程技能
狀態空間控制系統設計是全球工程課程中的核心之一。控制工程的應用包括自動駕駛車輛、可再生能源、無人機、電機控制和機器人等領域，因此可以說這個領域是前沿的。然而，大多數關於這個主題的教材缺乏理論和設計方法應用之間的關聯。
《STATE FEEDBACK CONTROL AND KALMAN FILTERING WITH MATLAB/SIMULINK TUTORIALS》通過將狀態空間控制系統與工程應用相結合，提供了獨特的觀點。本書全面介紹了狀態空間控制系統的入門主題，並深入探討了傳感器融合和重複控制系統等高級主題。此外，本書還超越了傳統的狀態空間控制方法，重點關注與控制系統相關的重要問題，如干擾抑制、參考跟踪、控制信號約束、傳感器融合等。本書按照連續時間和離散時間的順序介紹了狀態空間控制系統、卡爾曼濾波器及其在傳感器融合中的應用。
《STATE FEEDBACK CONTROL AND KALMAN FILTERING WITH MATLAB/SIMULINK TUTORIALS》的讀者還將獲得以下內容：
- 逐步進行的MATLAB和Simulink教程，幫助讀者掌握狀態空間控制系統設計和卡爾曼濾波的控制工程技能，以及模擬和實現
- 附帶的網站包含MATLAB代碼
- 整本書中的高質量插圖和表格，以說明重要觀點
- 由過程控制和狀態空間控制系統領域的專家撰寫
《STATE FEEDBACK CONTROL AND KALMAN FILTERING WITH MATLAB/SIMULINK TUTORIALS》是高年級本科生、研究生以及電氣、機械、化學和航空航天工程領域的工業研究人員和工程師的理想資源。
作者簡介
Liuping Wang, PhD, is a Professor of Control Engineering at RMIT University, Australia. She obtained her PhD from the Department of Control Engineering at the University of Sheffield, UK. Professor Wang gained substantial process control experience by working in the Chemical Engineering Department at the University of Toronto, Canada, and the Center for Integrated Dynamics at the University of Newcastle, Australia. She is the author of five books in systems and control.
Robin Ping Guan, PhD, obtained his Masters in Electrical Engineering from the University of Melbourne, Australia, in 2014 and his PhD from RMIT University, Australia in 2019. He is currently a research fellow in RMIT University.
作者簡介(中文翻譯)
Liuping Wang博士是澳大利亞RMIT大學控制工程學教授。她在英國謝菲爾德大學控制工程系獲得博士學位。Wang教授在加拿大多倫多大學化學工程系和澳大利亞紐卡斯爾大學集成動力學中心工作，積累了豐富的過程控制經驗。她是系統和控制領域的五本書的作者。
Robin Ping Guan博士於2014年在澳大利亞墨爾本大學獲得電氣工程碩士學位，並於2019年在RMIT大學獲得博士學位。他目前是RMIT大學的研究員。
