Design of momentum LMS adaptive strategy for parameter estimation of Hammerstein controlled autoregressive systems

Hierarchical parameter estimation for a class of MIMO Hammerstein systems based on the reframed models

(2016) Dongqing Wang   APPLIED MATHEMATICS LETTERS

A novel parameter separation based identification algorithm for Hammerstein systems

(2016) Yawen Mao et al.   APPLIED MATHEMATICS LETTERS

Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model

(2016) Yanjiao Wang et al.   AUTOMATICA

Recursive Least Squares and Multi-innovation Stochastic Gradient Parameter Estimation Methods for Signal Modeling

(2016) Ling Xu et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Filtering-based iterative identification for multivariable systems

(2016) Yanjiao Wang et al.   IET Control Theory and Applications

Parameter estimation algorithms for multivariable Hammerstein CARMA systems

(2016) Dongqing Wang et al.   INFORMATION SCIENCES

Novel generalization of Volterra LMS algorithm to fractional order with application to system identification

(2016) Naveed Ishtiaq Chaudhary et al.   NEURAL COMPUTING & APPLICATIONS

Bio-inspired computational heuristics for parameter estimation of nonlinear Hammerstein controlled autoregressive system

(2016) Muhammad Asif Zahoor Raja et al.   NEURAL COMPUTING & APPLICATIONS

A changing forgetting factor RLS for online identification of nonlinear systems based on ELM–Hammerstein model

(2016) Yinggan Tang et al.   NEURAL COMPUTING & APPLICATIONS

A sliding-window approximation-based fractional adaptive strategy for Hammerstein nonlinear ARMAX systems

(2016) Muhammad Saeed Aslam et al.   NONLINEAR DYNAMICS

The damping iterative parameter identification method for dynamical systems based on the sine signal measurement

(2016) Ling Xu   SIGNAL PROCESSING

State Space Least Mean Fourth Algorithm for Dynamic State Estimation in Power Systems

(2015) Arif Ahmed et al.   ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING

Robust model predictive control of nonlinear processes represented by Wiener or Hammerstein models

(2015) Fatemeh Khani et al.   CHEMICAL ENGINEERING SCIENCE

Recursive Least Squares Parameter Estimation for a Class of Output Nonlinear Systems Based on the Model Decomposition

(2015) Feng Ding et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

A novel data filtering based multi-innovation stochastic gradient algorithm for Hammerstein nonlinear systems

(2015) Yawen Mao et al.   DIGITAL SIGNAL PROCESSING

Highly Efficient Identification Methods for Dual-Rate Hammerstein Systems

(2015) Dong-Qing Wang et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Application of the Newton iteration algorithm to the parameter estimation for dynamical systems

(2015) Ling Xu   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Computational cost improvement of neural network models in black box nonlinear system identification

(2015) Hector M. Romero Ugalde et al.   NEUROCOMPUTING

Design of modified fractional adaptive strategies for Hammerstein nonlinear control autoregressive systems

(2015) Naveed Ishtiaq Chaudhary et al.   NONLINEAR DYNAMICS

Recursive least squares algorithm and gradient algorithm for Hammerstein–Wiener systems using the data filtering

(2015) Yanjiao Wang et al.   NONLINEAR DYNAMICS

The q-Least Mean Squares algorithm

(2015) Ubaid M. Al-Saggaf et al.   SIGNAL PROCESSING

Huberian approach for reduced order ARMA modeling of neurodegenerative disorder signal

(2015) Christophe Corbier et al.   SIGNAL PROCESSING

Two-stage fractional least mean square identification algorithm for parameter estimation of CARMA systems

(2015) Muhammad Asif Zahoor Raja et al.   SIGNAL PROCESSING

Design of fractional adaptive strategy for input nonlinear Box–Jenkins systems

(2015) Naveed Ishtiaq Chaudhary et al.   SIGNAL PROCESSING

Family of state space least mean power of two-based algorithms

(2015) Muhammad Moinuddin et al.   EURASIP Journal on Advances in Signal Processing

A Unified Performance Analysis of the Family of Normalized Least Mean Algorithms

(2014) Muhammad Moinuddin et al.   ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING

Decomposition Based Newton Iterative Identification Method for a Hammerstein Nonlinear FIR System with ARMA Noise

(2014) Feng Ding et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Hierarchical Least Squares Identification for Hammerstein Nonlinear Controlled Autoregressive Systems

(2014) Huibo Chen et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Adaptive strategies for parameter estimation of Box–Jenkins systems

(2014) Muhammad Asif Zahoor Raja et al.   IET Signal Processing

Identification of nonlinear dynamic systems with input saturation and output backlash using three-block cascade models

(2014) Jozef Vörös   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Balanced simplicity–accuracy neural network model families for system identification

(2014) Hector M. Romero Ugalde et al.   NEURAL COMPUTING & APPLICATIONS

Decomposition-based least squares parameter estimation algorithm for input nonlinear systems using the key term separation technique

(2014) Huibo Chen et al.   NONLINEAR DYNAMICS

Multi-innovation stochastic gradient identification for Hammerstein controlled autoregressive autoregressive systems based on the filtering technique

(2014) Yawen Mao et al.   NONLINEAR DYNAMICS

Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration

(2014) Ling Xu et al.   NONLINEAR DYNAMICS

Identification of Hammerstein nonlinear ARMAX systems using nonlinear adaptive algorithms

(2014) Naveed Ishtiaq Chaudhary et al.   NONLINEAR DYNAMICS

Iterative identification of nonlinear dynamic systems with output backlash using three-block cascade models

(2014) Jozef Vörös   NONLINEAR DYNAMICS

A Recursive Local Linear Estimator for Identification of Nonlinear ARX Systems: Asymptotical Convergence and Applications

(2013) Wenxiao Zhao et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

A New Deterministic Identification Approach to Hammerstein Systems

(2013) Chengpu Yu et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle

(2013) Feng Ding et al.   IET Control Theory and Applications

A variable momentum factor filtered-x weighted accumulated LMS algorithm for narrowband active noise control systems

(2013) Zhong Bo et al.   MEASUREMENT

Least squares based iterative identification algorithms for input nonlinear controlled autoregressive systems based on the auxiliary model

(2013) Huiyi Hu et al.   NONLINEAR DYNAMICS

Identification of Input Nonlinear Control Autoregressive Systems Using Fractional Signal Processing Approach

(2013) Naveed Ishtiaq Chaudhary et al.   TheScientificWorldJOURNAL

Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling

(2012) Feng Ding   APPLIED MATHEMATICAL MODELLING

Parameter estimation for Hammerstein CARARMA systems based on the Newton iteration

(2012) Junhong Li   APPLIED MATHEMATICS LETTERS

Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle

(2012) Dongqing Wang et al.   INFORMATION SCIENCES

Multi-innovation stochastic gradient parameter estimation for input nonlinear controlled autoregressive models

(2012) Yongsong Xiao et al.   INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS

Nonlinear modeling and identification of a spark ignition engine torque

(2011) Necla Togun et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Identification of cascade of Hammerstein models for the description of nonlinearities in vibrating devices

(2010) Marc Rébillat et al.   JOURNAL OF SOUND AND VIBRATION

Online identification of nonlinear system using reduced kernel principal component analysis

(2010) Okba Taouali et al.   NEURAL COMPUTING & APPLICATIONS

Steady-State Performance Analysis of a Variable Tap-Length LMS Algorithm

(2008) Yonggang Zhang et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING