A novel adaptive Runge–Kutta controller for nonlinear dynamical systems by Uçak, Kemal

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Optimization of nonlinear dynamical system based on model reality differences / by 599887 Mohd. Ismail Abdul Aziz, Rohanin Ahmad, Permodelan Berangka, Pengoptimuman and Komputasi (ke-2 : 2004 : Terengganu)

Parameter estimation of nonlinear dynamic system using genetic algorithm / by 201098 Mohamad Fitri Mohd. Nor

The Strong Stability of Optimal Nonlinear Dynamical System in Batch Fermentation by Hongli Wang, Bing Tan, Xiaohua Gao, Enmin Feng

“…For the bio-dissimilation of glycerol to 1,3-propanediol by Klebsiella pneumoniae, the nonlinear dynamical system of the complex metabolism in microbial batch fermentation is studied in this study. …”
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Multisensor Estimation Fusion with Gaussian Process for Nonlinear Dynamic Systems by Yiwei Liao, Jiangqiong Xie, Zhiguo Wang, Xiaojing Shen

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Chaos theory, a modern approach of nonlinear dynamic systems by Ioana-Elena ENE

“…The availability of cheaper and more powerful computers has made a major contribution to the achievement of major advances in nonlinear dynamic systems theory, the interest in deterministic chaos has increased enormously, being reflected in both literature and real life.…”
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Comparison of neural and control theoretic techniques for nonlinear dynamic systems by Huang, He, 1967-

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A nonlinear dynamic system for spread spectrum code acquisition by Vigoda, Benjamin William, 1973-

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EEE 504 - NONLINEAR DYNAMIC SYSTEMS SPET-OKT 03 by PPKEE, Pusat Pengajian Kejuruteraan Elektrik & Elektronik

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Quantitative Aeroelastic Stability Prediction of Wings Exhibiting Nonlinear Restoring Forces by Aykut Tamer

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Finite‐time synchronization of network systems with linear and nonlinear couplings via quantized intermittent‐adaptive control by Jie Yan, Wanli Zhang, Ji Feng

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Data driven nonlinear dynamical systems identification using multi-step CLDNN by Qi Teng, Lei Zhang

“…Recently, a multi-step deep neural networks (multi-step DNN) model without need of direct access to temporal gradients is proposed, which can accurately learn the evolution from a given set of observed data, identify nonlinear dynamical systems, and forecast future states. However, the architecture lacks the capability to capture long term temporal dependencies from dynamical time-series data. …”
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Vector dissipativity theory for discrete-time large-scale nonlinear dynamical systems by Sergey Nersesov, Vijaysekhar Chellaboina, Qing Hui, Wassim M. Haddad

“…Finally, these results are used to develop feedback interconnection stability results for discrete-time large-scale nonlinear dynamical systems using vector Lyapunov functions.…”
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Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for Control. by Steven L Brunton, Bingni W Brunton, Joshua L Proctor, J Nathan Kutz

“…In this wIn this work, we explore finite-dimensional linear representations of nonlinear dynamical systems by restricting the Koopman operator to an invariant subspace spanned by specially chosen observable functions. …”
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Non-Standard and Null Lagrangians for Nonlinear Dynamical Systems and Their Role in Population Dynamics by Diana T. Pham, Zdzislaw E. Musielak

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METHODS FOR BIFURCATION AND RECURRENT ANALYSIS OF NONLINEAR DYNAMICAL SYSTEMS ON MEMRISTIVE CIRCUIT EXAMPLE by D. N. Butusov, A. V. Tutueva, N. P. Kobyzev, D. O. Pesterev, V. G. Rybin

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Deep multi-modal learning for joint linear representation of nonlinear dynamical systems by Shaodi Qian, Chun-An Chou, Jr-Shin Li

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Controlling Stochastic Sensitivity by Feedback Regulators in Nonlinear Dynamical Systems with Incomplete Information by Irina Bashkirtseva

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State Observation for Lipschitz Nonlinear Dynamical Systems Based on Lyapunov Functions and Functionals by Angelo Alessandri, Patrizia Bagnerini, Roberto Cianci

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Determination of Stability Domains for Nonlinear Dynamical Systems Using the Weighted Residuals Method by Mohammad Rezaiee-Pajand, Behrang Moghaddasie

“…Finding a suitable estimation of stability domain around stable equilibrium points is an important issue in the study of nonlinear dynamical systems. This paper intends to apply a set of analytical-numerical methods to estimate the region of attraction for autonomous nonlinear systems. …”
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