Nonlinear Dynamics最新文献_第2页

Novel efficient reservoir computing methodologies for regular and irregular time series classification. 一种新的高效储层计算方法，用于规则和不规则时间序列分类。

IF 5.2 2区工程技术

Nonlinear Dynamics Pub Date : 2025-01-01 Epub Date: 2024-09-06 DOI: 10.1007/s11071-024-10244-3

Zonglun Li, Andrey Andreev, Alexander Hramov, Oleg Blyuss, Alexey Zaikin

{"title":"Novel efficient reservoir computing methodologies for regular and irregular time series classification.","authors":"Zonglun Li, Andrey Andreev, Alexander Hramov, Oleg Blyuss, Alexey Zaikin","doi":"10.1007/s11071-024-10244-3","DOIUrl":"10.1007/s11071-024-10244-3","url":null,"abstract":"Time series is a data structure prevalent in a wide range of fields such as healthcare, finance and meteorology. It goes without saying that analyzing time series data holds the key to gaining insight into our day-to-day observations. Among the vast spectrum of time series analysis, time series classification offers the unique opportunity to classify the sequences into their respective categories for the sake of automated detection. To this end, two types of mainstream approaches, recurrent neural networks and distance-based methods, have been commonly employed to address this specific problem. Despite their enormous success, methods like Long Short-Term Memory networks typically require high computational resources. It is largely as a consequence of the nature of backpropagation, driving the search for some backpropagation-free alternatives. Reservoir computing is an instance of recurrent neural networks that is known for its efficiency in processing time series sequences. Therefore, in this article, we will develop two reservoir computing based methods that can effectively deal with regular and irregular time series with minimal computational cost, both while achieving a desirable level of classification accuracy.","PeriodicalId":19723,"journal":{"name":"Nonlinear Dynamics","volume":"113 5","pages":"4045-4062"},"PeriodicalIF":5.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11732944/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143009423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal control under safety constraints and disturbances: a multi-step, off-policy adaptive dynamic programming approach. 安全约束和干扰下的最优控制：一种多步、非策略自适应动态规划方法。

IF 5.2 2区工程技术

Nonlinear Dynamics Pub Date : 2025-01-01 Epub Date: 2025-06-15 DOI: 10.1007/s11071-025-11329-3

Jun Ye, Xiaowei Zhao, Yougang Bian, Manjiang Hu, Hongyang Dong

{"title":"Optimal control under safety constraints and disturbances: a multi-step, off-policy adaptive dynamic programming approach.","authors":"Jun Ye, Xiaowei Zhao, Yougang Bian, Manjiang Hu, Hongyang Dong","doi":"10.1007/s11071-025-11329-3","DOIUrl":"10.1007/s11071-025-11329-3","url":null,"abstract":"This paper introduces a multi-step, off-policy adaptive dynamic programming approach, in both model-free and model-based variants, intending to solve optimal control problems under disturbances and safety constraints. To provide a more accurate estimation of the performance function in the policy evaluation step, we employ an interleaved training method in the model-free scheme and utilize a prior model in the model-based version to mitigate the underestimation issue of the accumulated utility function. To further counteract the underestimation of the terminal performance function, dual critic neural networks are utilized. Additionally, to ensure a well-balanced trade-off between safety and performance requirements, the original unconstrained policy improvement process is transformed into a constrained optimization task with a far-sighted safety function. Furthermore, an actor-critic-disturbance framework is designed to handle safety constraints during the zero-sum game process, in which the disturbance policy and the performance function are alternately updated during the PEV step. Based on this, a rigorous theoretical analysis is conducted to evaluate the convergence property of the proposed method. Finally, simulation results and practical experiments demonstrate the effectiveness and safety of the proposed method.","PeriodicalId":19723,"journal":{"name":"Nonlinear Dynamics","volume":"113 17","pages":"22973-22999"},"PeriodicalIF":5.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12321936/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144794930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Oral Manifestation of Viral-Induced Erythema Multiforme Major: A Rare Presentation. 病毒诱发的大面积红斑的口腔表现：一种罕见的表现

IF 5.2 2区工程技术

Nonlinear Dynamics Pub Date : 2024-02-01 Epub Date: 2023-09-01 DOI: 10.1007/s12070-023-04195-1

T Jeyanthikumari, B Thayumanavan, Khadijah Mohideen, S Vinayakam, Snehashish Ghosh, Safal Dhungel

引用次数: 0

Lyapunov functions and regions of attraction for spherically constrained relative orbital motion 球约束相对轨道运动的李亚普诺夫函数和吸引区域

IF 5.6 2区工程技术

Nonlinear Dynamics Pub Date : 2024-01-11 DOI: 10.1007/s11071-023-09197-w

Nathaniel T. Woodford, Matthew W. Harris