動(dòng)力系統(tǒng)數(shù)學(xué)與計(jì)算機(jī)建模(MCMDS)發(fā)表了高質(zhì)量的國際研究報(bào)告，提出了與復(fù)雜(真實(shí)世界)動(dòng)力系統(tǒng)相關(guān)的模型和子模型的推導(dǎo)、簡化和驗(yàn)證的新思路和方法。該雜志匯集了在不同應(yīng)用和/或理論領(lǐng)域工作的工程師和科學(xué)家，研究人員可以在此了解工程、環(huán)境系統(tǒng)和生物技術(shù)等領(lǐng)域的最新進(jìn)展。由于MCMDS涵蓋了廣泛的應(yīng)用領(lǐng)域，論文的目標(biāo)讀者不一定是特定應(yīng)用領(lǐng)域的專家。MCMDS歡迎關(guān)于一系列主題的原創(chuàng)文章，包括:建模和仿真方法自動(dòng)化造型定性和模塊化建模基于數(shù)據(jù)和基于學(xué)習(xí)的建模不確定性和建模誤差對系統(tǒng)性能的影響將建模應(yīng)用于復(fù)雜的實(shí)際系統(tǒng)。歡迎提交下列文件:新造型的想法模型和建模方法的比較建模的理論方面論文涉及復(fù)雜的實(shí)際應(yīng)用，介紹了模型的目的和模型的標(biāo)定與驗(yàn)證過程。潛在的作者應(yīng)該注意到，MCMDS的重點(diǎn)是新的建模方法和/或復(fù)雜現(xiàn)實(shí)系統(tǒng)建模的新應(yīng)用。

Mathematical and Computer Modelling of Dynamical Systems (MCMDS) publishes high quality international research that presents new ideas and approaches in the derivation, simplification, and validation of models and sub-models of relevance to complex (real-world) dynamical systems. The journal brings together engineers and scientists working in different areas of application and/or theory where researchers can learn about recent developments across engineering, environmental systems, and biotechnology amongst other fields. As MCMDS covers a wide range of application areas, papers aim to be accessible to readers who are not necessarily experts in the specific area of application. MCMDS welcomes original articles on a range of topics including: methods of modelling and simulationautomation of modellingqualitative and modular modellingdata-based and learning-based modellinguncertainties and the effects of modelling errors on system performanceapplication of modelling to complex real-world systems. Submissions are highly welcome which present: new modelling ideas comparison of models and modelling approaches theoretic aspects of modelling papers dealing with complex real-world applications, which present the purpose of the model and the process of model calibration and validation.Potential authors should note that the focus of MCMDS is on new modelling methods and/or new applications of modelling to complex real-world systems.