Novel knacks of chaotic maps with Archimedes optimization paradigm for nonlinear ARX model identification with key term separation
Archimedes' optimization algorithm (AOA) is a recently proposed physics-based optimization
algorithm inspired by Archimedes' Principle. However, for optimization of complex …
algorithm inspired by Archimedes' Principle. However, for optimization of complex …
Highly-efficient filtered hierarchical identification algorithms for multiple-input multiple-output systems with colored noises
H Xing, F Ding, X Zhang, X Luan, E Yang - Systems & Control Letters, 2024 - Elsevier
Multiple-input multiple-output (MIMO) systems have extensive applications in industrial
processes and systems engineering. This letter applies the filtering identification idea to …
processes and systems engineering. This letter applies the filtering identification idea to …
Design of auxiliary model based normalized fractional gradient algorithm for nonlinear output-error systems
A new avenue of fractional calculus applications has emerged that investigates the design of
fractional gradient based novel iterative methods for analyzing fractals and nonlinear …
fractional gradient based novel iterative methods for analyzing fractals and nonlinear …
Nonlinear hammerstein system identification: A novel application of marine predator optimization using the key term separation technique
The mathematical modelling and optimization of nonlinear problems arising in diversified
engineering applications is an area of great interest. The Hammerstein structure is widely …
engineering applications is an area of great interest. The Hammerstein structure is widely …
Design of aquila optimization heuristic for identification of control autoregressive systems
Swarm intelligence-based metaheuristic algorithms have attracted the attention of the
research community and have been exploited for effectively solving different optimization …
research community and have been exploited for effectively solving different optimization …
Swarming intelligence heuristics for fractional nonlinear autoregressive exogenous noise systems
A bstract In this paper, knacks of swarming heuristics are exploited for system identification
problem of fractional-nonlinear autoregressive (Fr-NARX) systems with the help of particle …
problem of fractional-nonlinear autoregressive (Fr-NARX) systems with the help of particle …
Construction of chirped propagation with Jacobi elliptic functions for the nonlinear Schrödinger equations with quadratic nonlinearity with inter-modal and spatio …
At the end of the past century, a completely new sort of soliton was discovered: embedded
solitons. They were discovered in optical systems first, and then in liquid crystal theory …
solitons. They were discovered in optical systems first, and then in liquid crystal theory …
Adaptive evolutionary computation for nonlinear hammerstein control autoregressive systems with key term separation principle
The knacks of evolutionary and swarm computing paradigms have been exploited to solve
complex engineering and applied science problems, including parameter estimation for …
complex engineering and applied science problems, including parameter estimation for …
Parameter estimation of nonlinear systems: Dwarf mongoose optimization algorithm with key term separation principle
In recent years, swarm intelligence-based metaheuristics are extensively explored for
optimizing challenging and stiff nonlinear problems. This research explores the identification …
optimizing challenging and stiff nonlinear problems. This research explores the identification …
A mathematically rigorous algorithm to define, compute and assess relevance of the probable dissociation constants in characterizing a biochemical network
S Kundu - Scientific Reports, 2024 - nature.com
Metabolism results from enzymatic-and non-enzymatic interactions of several molecules, is
easily parameterized with the dissociation constant and occurs via biochemical networks …
easily parameterized with the dissociation constant and occurs via biochemical networks …