INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING（国际自适应控制与信号处理杂志）影响因子_期刊投稿发表

期刊简介

The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material.Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include:Auto-Tuning, Self-Tuning and Model Reference Adaptive ControllersNonlinear, Robust and Intelligent Adaptive ControllersLinear and Nonlinear Multivariable System Identification and EstimationIdentification of Linear Parameter Varying, Distributed and Hybrid SystemsMultiple Model Adaptive ControlAdaptive Signal processing Theory and AlgorithmsAdaptation in Multi-Agent SystemsCondition Monitoring SystemsFault Detection and Isolation MethodsFault Detection and Isolation MethodsFault-Tolerant Control (system supervision and diagnosis)Learning Systems and Adaptive ModellingReal Time Algorithms for Adaptive Signal Processing and ControlAdaptive Signal Processing and Control ApplicationsAdaptive Cloud Architectures and NetworkingAdaptive Mechanisms for Internet of ThingsAdaptive Sliding Mode Control.

国际自适应控制和信号处理杂志关注的是需要自适应特性来科普不确定性的估计器或控制器的设计、综合和应用。关于信号处理的论文也应该与自适应系统有一定的关系。该杂志的重点是基于模型的控制设计方法，而不是启发式或基于规则的控制设计方法。所有论文都将包括重要的新材料。自适应系统和系统识别的理论和应用都是感兴趣的领域。关于应用的论文可以包括真实的信号处理和控制的算法实现中的问题。自适应算法的稳定性、收敛性、鲁棒性和数值方面也是合适的主题。控制器整定、滤波、网络和开关理论的相关主题也是令人感兴趣的。主要研究领域包括：自校正、自校正和模型参考自适应控制器非线性、鲁棒和智能自适应控制器线性和非线性多变量系统辨识和估计线性参数变化、分布式和混合系统的辨识多模型自适应控制自适应信号处理理论和算法多智能体系统中的自适应状态监测系统故障检测和隔离方法故障检测和隔离方法容错控制（系统监督和诊断）学习系统和自适应建模自适应信号处理和控制的实时算法自适应信号处理和控制应用自适应云架构和网络物联网自适应机制自适应滑模控制。

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