Selecting nonlinear model structures for computer control
RK Pearson - Journal of process control, 2003 - Elsevier
Many authors have noted the difficulty of developing the models required for nonlinear
model predictive control (NMPC) and other nonlinear, model-based control strategies. One …
model predictive control (NMPC) and other nonlinear, model-based control strategies. One …
Discrete memristor applied to construct neural networks with homogeneous and heterogeneous coexisting attractors
Q Lai, L Yang - Chaos, Solitons & Fractals, 2023 - Elsevier
Memristors are widely used to simulate the effects of electromagnetic radiation on neurons
or as synapses to simulate excitation and inhibition between neurons. This paper constructs …
or as synapses to simulate excitation and inhibition between neurons. This paper constructs …
On redefining a snap-back repeller
FR Marotto - Chaos, Solitons & Fractals, 2005 - Elsevier
On redefining a snap-back repeller - ScienceDirect Skip to main contentSkip to article Elsevier
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[HTML][HTML] Alternative techniques for forecasting mineral commodity prices
Forecasting mineral commodity (MC) prices has been an important and difficult task
traditionally addressed by econometric, stochastic-Gaussian and time series techniques …
traditionally addressed by econometric, stochastic-Gaussian and time series techniques …
On chaotic simulated annealing
Chen and Aihara (1995) proposed a chaotic simulated annealing approach to solving
optimization problems. By adding a negative self coupling to a network model proposed …
optimization problems. By adding a negative self coupling to a network model proposed …
An extended Kalman filtering approach to modeling nonlinear dynamic gene regulatory networks via short gene expression time series
In this paper, the extended Kalman filter (EKF) algorithm is applied to model the gene
regulatory network from gene time series data. The gene regulatory network is considered …
regulatory network from gene time series data. The gene regulatory network is considered …
Chaotification via arbitrarily small feedback controls: Theory, method, and applications
XF Wang, G Chen - International Journal of Bifurcation and Chaos, 2000 - World Scientific
In this paper, the problem of making a stable nonlinear autonomous system chaotic or
enhancing the existing chaos of an originally chaotic system by using a small-amplitude …
enhancing the existing chaos of an originally chaotic system by using a small-amplitude …
Combination of chaotic neurodynamics with the 2-opt algorithm to solve traveling salesman problems
M Hasegawa, T Ikeguchi, K Aihara - Physical Review Letters, 1997 - APS
We propose a novel approach for combinatorial optimization problems. For solving the
traveling salesman problems, we combine chaotic neurodynamics with heuristic algorithm …
traveling salesman problems, we combine chaotic neurodynamics with heuristic algorithm …
Global searching ability of chaotic neural networks
L Chen, K Aihara - IEEE Transactions on Circuits and Systems I …, 1999 - ieeexplore.ieee.org
This paper aims to theoretically prove that both transiently chaotic neural networks (TCNN's)
and discrete-time recurrent neural networks (DRNN's) have a global attracting set which …
and discrete-time recurrent neural networks (DRNN's) have a global attracting set which …
Chaos engineering and its application to parallel distributed processing with chaotic neural networks
K Aihara - Proceedings of the IEEE, 2002 - ieeexplore.ieee.org
Chaotic dynamics and its possible applications are considered from the viewpoint of
engineering. Various applications, even to consumer products such as household …
engineering. Various applications, even to consumer products such as household …