Enhancing modelling accuracy of cascaded spline adaptive filters using the remora optimisation algorithm:application to real-time systems  

作　　者：Lakshminarayana JANJANAM Suman Kumar SAHA Rajib KAR 

机构地区：[1]JNTUK Recognized Research Center,Department of Electronics&Communication Engineering,Sasi Institute of Technology&Engineering,Andhra Pradesh 534101,India [2]Department of Electronics&Communication Engineering,National Institute of Technology Raipur,Chhattisgarh 492010,India [3]Department of Electronics&Communication Engineering,National Institute of Technology Durgapur,West Bengal 713209,India

出　　处：《Frontiers of Information Technology & Electronic Engineering》2024年第11期1515-1535,共21页信息与电子工程前沿（英文版）

摘　　要：We first introduce a new approach for optimising a cascaded spline adaptive filter(CSAF)to identify unknown nonlinear systems by using a meta-heuristic optimisation algorithm(MOA).The CSAF architecture combines Hammerstein and Wiener systems,where the nonlinear blocks are implemented with the spline network.The algorithms used optimise the weights of the spline interpolation function and linear filter by using an adequately weighted cost function,leading to improved filter stability,steady state performance,and guaranteed convergence to globally optimal solutions.We investigate two CSAF architectures:Hammerstein–Wiener SAF(HW-SAF)and Wiener–Hammerstein SAF(WH-SAF)structures.These architectures have been designed using gradient-based approaches which are inefficient due to poor convergence speed,and produce suboptimal solutions in a Gaussian noise environment.To avert these difficulties,we estimate the design parameters of the CSAF architecture using four independent MOAs:differential evolution(DE),brainstorm optimisation(BSO),multi-verse optimiser(MVO),and a recently proposed remora optimisation algorithm(ROA).In ROA,the remora factor’s control parameters produce near-global optimal parameters with a higher convergence speed.ROA also ensures the most balanced exploration and exploitation phases compared to DE-,BSO-,and MVO-based design approaches.Finally,the identification results of three numerical and industryspecific benchmark systems,including coupled electric drives,a thermic wall,and a continuous stirred tank reactor,are presented to emphasise the effectiveness of the ROA-based CSAF design.

关 键 词：Cascaded spline adaptive filter Nonlinear system identification Remora optimisation algorithm 

分 类 号：TN713[电子电信—电路与系统] TP18[自动化与计算机技术—控制理论与控制工程]