System identification and robust PID controller tuning of quarter car suspension system using hybrid optimization techniques by S. Sakthiya Ram, C. Kumar, R. Saravanakumar, David Banjerdpongchai

“…Traditional PID controllers often fall short due to issues like nonlinear dynamics, uncertain parameters, and limited robustness. …”
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Robust Wide-Speed-Range Control of IPMSM with Multi-Axis Coordinated Extended State Observer for Dynamic Performance Enhancement by Wentao Zhang, Yanchen Zhai, Pengcheng Zhu, Yiwei Liu

“…Subsequently, the effectiveness and stability of the proposed method were verified through theoretical analysis and simulation studies. Compared with traditional control strategies, this method can effectively observe and compensate for a series of complex issues such as nonlinear disturbances during operation without requiring additional hardware support. …”
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Development of An Optimal Low-Noise Voice-Coil Actuator for Precision Motion Control Applications by Suorena Saeedi, Ali Sadighi, Masoud Shariat Panahi

“…On the other hand, developing a model that captures the nonlinear features of actuator dynamics is essential for advancing high-performance controllers. …”
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Chaotic chimp-mountain gazelle optimized FOPID control for frequency regulation in islanded airport microgrids with heterogeneous energy systems by Odelu P., Chandan Kumar Shiva, Sachidananda Sen, Vedik Basetti, Chandra Sekhar Reddy

“…Abstract Ensuring stable frequency regulation in islanded airport microgrids is a challenging task owing to the intermittency of renewable energy sources, unpredictable load variations, and nonlinear dynamics. Conventional optimization techniques often struggle with premature convergence and sub-optimal controller tuning, leading to a poor transient response and inadequate frequency stabilization. …”
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Neural Network-Based State Estimation for a Closed-Loop Control Strategy Applied to a Fed-Batch Bioreactor by Santiago Rómoli, Mario Serrano, Francisco Rossomando, Jorge Vega, Oscar Ortiz, Gustavo Scaglia

“…The proposed methodology is applied to a class of nonlinear systems with three types of uncertainties: (i) time-varying parameters, (ii) uncertain nonlinearities, and (iii) unmodeled dynamics. …”
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A Finite-Time Disturbance Observer-Based Control for Constrained Second-Order Dynamical Systems and Its Application to the Attitude Tracking of a UAV by Nguyen Xuan Mung, Nguyen Huu Tiep, Loan Thi Kim Au, Nguyen Ngoc Anh, Xuan Nguyen, Nguyen Phi

“…First, to address the presence of external disturbances, a nonlinear, unknown-input observer is introduced, which provides a disturbance estimate with finite-time convergence. …”
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An Improved Kernel Entropy Component Analysis for Damage Detection Under Environmental and Operational Variations by Shuigen Hu, Jian Yang, Jiezhong Huang, Dongsheng Li, Cheng Li

“…While conventional techniques like Principal Component Analysis (PCA) and cointegration have been somewhat effective in addressing this issue, challenges such as measurement noise, nonlinear behavior, and non-Gaussian data distribution continue to affect their performance. …”
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Performance Analysis of Maximum Likelihood Detection in Cooperative DF MIMO Systems with One-Bit ADCs by Tae-Kyoung Kim

“…However, its analysis under one-bit ADCs is challenging because of its nonlinearity. The main contributions of this paper are summarized as follows: (1) a tractable upper bound on the pairwise error probability (PEP) of the AML detector is derived using Jensen’s inequality and the Chernoff bound, (2) the asymptotic behavior of the PEP is analyzed to reveal the achievable diversity gain, (3) the analysis shows that full diversity is attained only when symbol pairs in the PEP satisfy a sign-inverted condition and the relay correctly decodes the source symbol, and (4) the simulation results verify the accuracy of the theoretical analysis and demonstrate the effectiveness of the proposed analysis.…”
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Enhanced Power Quality Control in Grid Tied PVG-UAPF Systems Using a Modified Second Order Generalized Integrator and Notch Filter by K. M. Sanjeeva Kumar, Satyajit Das

“…Modern electrical distribution networks encounter significant challenges due to DC offsets, harmonics from nonlinear loads, and distorted grid voltages. These issues lead to increased total harmonic distortion (THD), reduced power factor, degraded power quality, and potential instability. …”
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Integrated irrigation of water and fertilizer with superior self-correcting fuzzy PID control system. by Wanjun Zhang, Jingsheng Tong, Feng Zhang, Wanliang Zhang, Jingxuan Zhang, Jingyi Zhang, Jingyan Zhang, Honghong Sun, Derek O Northwood, Kristian E Waters, Hao Ma

“…Its parameter self-adaptation capability effectively balances dynamic response and steady-state performance, resolving issues such as overshoot oscillation and lagging regulation in nonlinear dynamics. …”
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T-S Fuzzy Model Based H-Infinity Control for 7-DoF Automobile Electrohydraulic Active Suspension System by Chenyu Zhou, Qiang Yu, Xuan Zhao, Guohua Zhu

“…Adaptive Robust Control (ARC) is then adopted in the inner loop design to deal with uncertain nonlinearities and improve tracking accuracy. The validity of improvements attained from this controller is demonstrated by comparing with conventional Backstepping control and a passive suspension on a 7-DoF simulation example. …”
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DOA estimation with anti-jitter based on DMA heterogeneous codebook cyclic Kalman filtering by LIU Wuding, YI Ming, JIN Liang, JIAO Shiheng, ZHANG Bingqi, LYU Haoyu

“…Firstly, a scheme for addressing the nonlinearity in received data due to random angular jitter was proposed. …”
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Analysis of Unmanned Surface Vehicles Heading KF-Based PI-(1+PI) Controller Using Improved Spider Wasp Optimizer by Xiaoyu Li, Xiangye Zeng, Jingyi Wang, Qi Li, Baoshuo Fan, Qi Zeng

“…To overcome these issues, the ISWO integrates dynamic adaptive grouping, perturbation dimension-symmetric distance optimization, and nonlinear time-varying weights, enhancing convergence speed and optimization accuracy. …”
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Impact of ISTA and FISTA iterative optimization algorithms on electrical impedance tomography image reconstruction by Nguyen Diep Quoc Tuan, Huynh Hoang Nhut, Ven Huynh Thanh, Cao Dinh Minh Quan, Tran Anh Tu, Tran Trung Nghia

“…The inverse problem associated with EIT is nonlinear and ill-posed, leading to low spatial resolution reconstructions. …”
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Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis by Shangke Liu, Ke Liu, Zheng Wang, Yuanyuan Liu, Bin Bai, Rui Zhao

“…Traditional climate prediction models largely rely on the simulation of physical processes. While they have achieved some success, these models still face issues such as complexity, high computational cost, and insufficient handling of multivariable nonlinear relationships.MethodsIn light of this, this paper proposes a hybrid deep learning model based on Transformer-Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM) to improve the accuracy of climate predictions. …”
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Movement behavior of rock strata in multi-level sublevel filling mining and forecasting of differential surface subsidence by Fei Li, Yihui Feng, Haitao Ma, Yongming Yin, Xinai Lu, Chaoyu Zan

“…The results indicate that multi-level sublevel filling mining induces nonlinear superposition effects in the stress unloading-loading cycles. …”
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Ultra-Local Model-Based Adaptive Enhanced Model-Free Control for PMSM Speed Regulation by Chunlei Hua, Difen Shi, Xi Chen, Guangfa Gao

“…First, by integrating a nonlinear disturbance observer (NDOB) and a PD control law into the generalized model-free controller, an enhanced model-free speed controller (EMFSC) was developed to ensure closed-loop stability. …”
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Multi-UAV Trajectory Planning Based on a Two-Layer Algorithm Under Four-Dimensional Constraints by Yong Yang, Yujie Fu, Runpeng Xin, Weiqi Feng, Kaijun Xu

“…For upper layer task assignment, the improved ALNS (IALNS) addresses local optima issues in complex constraints. It integrates K-means clustering for initialization and a simulated annealing mechanism, improving scheduling rationality and solution efficiency. …”
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Motion Control Study of Two-legged Wheeled Robot by Checao YU, Xinzhi MA, Xuejun ZHU, Xudong YANG, Huige LAI, Aidi YANG

“…At the same time, it has control difficulties such as underdrive, strong coupling, and nonlinearity. These challenges lead to difficulties in achieving effective motion control and self-balancing of the robot. …”
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Microvibration Control of Hybrid Platform for High-Tech Equipment in Buildings Using Brain Emotional Learning-Based Intelligent Controller by Chandrasekhara Tappiti, Tzu-Kang Lin

“…These learning and intelligent-based algorithms offer notable advantages, including the ability to handle nonlinearity, uncertainty, and training capabilities within the control systems. …”
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