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 …
Intelligent solution predictive networks for non-linear tumor-immune delayed model
In this article, we analyze the dynamics of the non-linear tumor-immune delayed (TID) model
illustrating the interaction among tumor cells and the immune system (cytotoxic T …
illustrating the interaction among tumor cells and the immune system (cytotoxic T …
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 nonlinear marine predator heuristics for hammerstein autoregressive exogenous system identification with key-term separation
Swarm-based metaheuristics have shown significant progress in solving different complex
optimization problems, including the parameter identification of linear, as well as nonlinear …
optimization problems, including the parameter identification of linear, as well as nonlinear …
Firefly optimization heuristics for sustainable estimation in power system harmonics
The sustainable power development requires the study of power quality while taking into
account of electrical equipment is an important aspect because it highly compromises the …
account of electrical equipment is an important aspect because it highly compromises the …
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 …
Intelligent computing networks for nonlinear influenza-A epidemic model
The differential equations having delays take paramount interest in the research community
due to their fundamental role to interpret and analyze the mathematical models arising in …
due to their fundamental role to interpret and analyze the mathematical models arising in …
Novel fractional swarming with key term separation for input nonlinear control autoregressive systems
In recent decades, fractional order calculus has become an important mathematical tool for
effectively solving complex problems through better modeling with the introduction of …
effectively solving complex problems through better modeling with the introduction of …
Parameter estimation for a controlled autoregressive autoregressive moving average system based on a recursive framework
L Li, J Zhang, H Zhang, X Ren - Applied Mathematical Modelling, 2023 - Elsevier
In this paper, an adaptive recursive estimation scheme based on a novel recursive
framework is proposed for a controlled autoregressive autoregressive moving average …
framework is proposed for a controlled autoregressive autoregressive moving average …
Parameter estimation of harmonics arising in electrical instruments of smart grids using cuckoo search heuristics
NA Malik, CL Chang, NI Chaudhary… - Frontiers in Energy …, 2022 - frontiersin.org
The accurate estimation of power signal parameters allows smart grids to optimize power
delivery efficiency, improve equipment utilization, and control power flow among generation …
delivery efficiency, improve equipment utilization, and control power flow among generation …