中文簡介

非線性分析混合系統(tǒng)歡迎在混合動力系統(tǒng)領域的所有重要研究和說明論文，即涉及離散和連續(xù)動力行為之間相互作用的系統(tǒng)。計算機和嵌入式無功控制系統(tǒng)，包括離散開關邏輯和與連續(xù)系統(tǒng)的事件驅(qū)動交互，在日常生活中無處不在。這些系統(tǒng)變得越來越復雜，難以設計和驗證，同時對動力學性能和安全性的要求也越來越高。混合動力系統(tǒng)高效可靠設計的系統(tǒng)方法的開發(fā)是控制技術和工業(yè)信息領域的一個關鍵問題，因此控制工程師、計算機科學家和數(shù)學家在研究機構以及許多工業(yè)部門都非常感興趣。在所有與混合動力系統(tǒng)相關的領域，包括：建模、建模語言和規(guī)范；分析、可計算性和復雜性；隨機系統(tǒng)；脈沖系統(tǒng)；驗證；抽象；優(yōu)化；控制合成和實時控制；網(wǎng)絡計算和控制；神經(jīng)或模糊混合系統(tǒng)的方法；振蕩器和混沌系統(tǒng)的同步；故障診斷和可靠性；仿真、實現(xiàn)和工具。還鼓勵對混合動力系統(tǒng)方法的應用作出貢獻。感興趣的領域包括：工藝工業(yè)、汽車、航空電子、通信網(wǎng)絡、能源系統(tǒng)、運輸網(wǎng)絡、嵌入式系統(tǒng)、生物學和其他科學、制造和機器人。

投稿網(wǎng)址：http://ees.elsevier.com/nahs

英文簡介

Nonlinear Analysis-Hybrid Systems welcomes all important research and expository papers in the area of hybrid dynamic systems, i.e., systems involving the interplay between discrete and continuous dynamic behaviors.Computer and embedded reactive control systems which includes discrete switching logic and event-driven interactions with continuous systems are ubiquitous in everyday life. These systems become increasingly complex and difficult to design and to verify while the requirements for dynamics performances and safety are also increasing. The development of systematic methods for efficient and reliable design of hybrid systems is a key issue in control technology and industrial information, and thus it is currently of high interest to control engineers, computer scientists and mathematicians in research institutions as well as in many industrial sectors.Contributions are invited in all areas pertaining to hybrid dynamic systems including: Modeling, modeling languages and specification; Analysis, computability and complexity; Stochastic systems; Impulsive systems; Verification; Abstraction; Optimization; Control synthesis and real-time control; Computation and control over networks; Neural or fuzzy approaches to hybrid systems; Synchronization of oscillators and chaotic systems; Fault diagnosis and dependability; Simulation, implementation and tools.Contributions on applications of hybrid dynamic systems methods are also encouraged. Fields of interest include: process industry, automotive, avionics, communication networks, energy systems, transportation networks, embedded systems, biology and other sciences, manufacturing and robotics.