International Journal of Adaptive Control and Signal Processing

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.

【译文】《国际自适应控制与信号处理杂志》关注设计、综合和应用估计器或控制器，这些控制器需要自适应特性来应对不确定性。关于信号处理的论文也应与自适应系统相关。该杂志的重点在于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系统设计方法。所有论文都应包含有意义的创新材料。自适应系统和系统识别的理论和应用也是感兴趣的研究领域。关于应用的论文可以包括实时信号处理和控制算法实现的难题。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研究主题。控制器调整、滤波、网络和切换理论的相关主题也很有兴趣。主要要解决的问题包括：自动调整、自调整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识别和估计、线性参数变化、分布式和混合系统的识别、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、条件监测系统、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、物联网的自适应机制、自适应滑模控制。