非線性分析混合系統(tǒng)歡迎在混合動(dòng)力系統(tǒng)領(lǐng)域的所有重要研究和說(shuō)明論文，即涉及離散和連續(xù)動(dòng)力行為之間相互作用的系統(tǒng)。計(jì)算機(jī)和嵌入式無(wú)功控制系統(tǒng)，包括離散開(kāi)關(guān)邏輯和與連續(xù)系統(tǒng)的事件驅(qū)動(dòng)交互，在日常生活中無(wú)處不在。這些系統(tǒng)變得越來(lái)越復(fù)雜，難以設(shè)計(jì)和驗(yàn)證，同時(shí)對(duì)動(dòng)力學(xué)性能和安全性的要求也越來(lái)越高。混合動(dòng)力系統(tǒng)高效可靠設(shè)計(jì)的系統(tǒng)方法的開(kāi)發(fā)是控制技術(shù)和工業(yè)信息領(lǐng)域的一個(gè)關(guān)鍵問(wèn)題，因此控制工程師、計(jì)算機(jī)科學(xué)家和數(shù)學(xué)家在研究機(jī)構(gòu)以及許多工業(yè)部門(mén)都非常感興趣。在所有與混合動(dòng)力系統(tǒng)相關(guān)的領(lǐng)域，包括：建模、建模語(yǔ)言和規(guī)范；分析、可計(jì)算性和復(fù)雜性；隨機(jī)系統(tǒng)；脈沖系統(tǒng)；驗(yàn)證；抽象；優(yōu)化；控制合成和實(shí)時(shí)控制；網(wǎng)絡(luò)計(jì)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(shí)現(xiàn)和工具。還鼓勵(lì)對(duì)混合動(dòng)力系統(tǒng)方法的應(yīng)用作出貢獻(xiàn)。感興趣的領(lǐng)域包括：工藝工業(yè)、汽車(chē)、航空電子、通信網(wǎng)絡(luò)、能源系統(tǒng)、運(yùn)輸網(wǎng)絡(luò)、嵌入式系統(tǒng)、生物學(xué)和其他科學(xué)、制造和機(jī)器人。

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.