Adaptive control of uncertain non-linear fractional-order systems in the presence of actuator failures and input constraints by Masood Bagherzadeh

“…By correcting parametric, structural, and environmental uncertainties, the controller ensures the asymptotic stability of the closed-loop system and output tracking. …”
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Optimal LQG controller design for inverted pendulum systems using a comprehensive approach by Monika Rani, Sushma S. Kamlu

“…LQG, known for its capacity to handle uncertainties and system noise, is analyzed in detail. …”
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LMI-Based Robust Stabilization of a Class of Input-Constrained Uncertain Nonlinear Systems with Application to a Helicopter Model by Hassène Gritli

“…The nonlinear dynamics is subject to norm-bounded parametric uncertainties and disturbances. In addition, the problem of actuator nonlinearity is addressed by considering the saturation effect of the control law. …”
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QMU Analysis of Flexoelectric Timoshenko Beam by Evidence Theory by Feng Zhang, Jiajia Zhang, Weiyue Wang, Ruijie Du, Cheng Han, Zijie Qiao

“…The combination of available data and engineers’ experience suggests that there are random and cognitive uncertainties in the parameters. Therefore, the probability distribution of the system performance response is expressed by the likelihood function and belief function through the quantification of margins and uncertainties (QMUs) analysis methodology under the framework of evidence theory, and the system reliability or performance evaluation is measured by the calculated confidence factors. …”
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Hybrid Adaptive Pinning Control for Function Projective Synchronization of Delayed Neural Networks with Mixed Uncertain Couplings by T. Botmart, N. Yotha, P. Niamsup, W. Weera

“…This paper presents the function projective synchronization problem of neural networks with mixed time-varying delays and uncertainties asymmetric coupling. The function projective synchronization of this model via hybrid adaptive pinning controls and hybrid adaptive controls, composed of nonlinear and adaptive linear feedback control, is further investigated in this study. …”
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Resilient robust model predictive load frequency control for smart grids with air conditioning loads by Shiluo Jike, Guobao Liu, Feng Li, Changyu Zhang, Qi Wang, Mengxia Zhou, Haiya Qian

“…In addition, the system uncertainties produced by the air conditioning load users and wind turbines when replacing traditional generator sets are considered. …”
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Adaptive Sliding Mode Control of MEMS AC Voltage Reference Source by Ehsan Ranjbar, Ali Mehrnezhad, Amir Abolfazl Suratgar

“…Even though strenuous endeavors are made to fabricate MEMS tunable capacitors with desiderated accurate physical characteristics and ameliorate exactness of physical parameters’ values, parametric uncertainties ineluctably emerge in fabrication process attributable to imperfections in micromachining process. …”
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Evaluating supply chain sustainability and agility using fuzzy logic approach: A case in Indonesian agroindustry by Hasibuan Sawarni, Yunita Ika, Zulkarnaen Iskandar

“…Agility and sustainability are critical, complementary concepts that enable businesses to navigate increasing uncertainties and complexities, as highlighted by the COVID-19 pandemic. …”
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A Data-Driven Approach for Reactive Power Optimization Incorporating Interval Values for Renewable Power Generation by Honglei Jia, Cong Zhang, Jieming Du, Na Kuang

“…Traditional deterministic RPO methods fail to account for these uncertainties, which can result in power grid security issues such as voltage violations. …”
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RBF Neural Network Backstepping Sliding Mode Adaptive Control for Dynamic Pressure Cylinder Electrohydraulic Servo Pressure System by Pan Deng, Liangcai Zeng, Yang Liu

“…Finally, the algorithm is applied to the dynamic pressure cylinder electrohydraulic servo pressure system AMESim model; simulation results show that this algorithm can not only effectively estimate the system uncertainties, but also achieve accurate tracking of the target variables and have a simpler structure, better control performance, and better robust performance than the backstepping sliding mode adaptive control (BSAC).…”
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Optimized Super-Twisting Sliding Mode Control with Parameter Estimation for Autonomous Vehicle Longitudinal Motion on Downhill Road by Kbrom Lbsu Gdey, Woo Young Choi

“…The OST-SMC algorithm shows enhanced robustness against disturbances and parameter uncertainties compared to conventional sliding mode controllers. …”
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Optimal life-cycle adaptation of coastal infrastructure under climate change by Ashmita Bhattacharya, Konstantinos G. Papakonstantinou, Gordon P. Warn, Lauren McPhillips, Melissa M. Bilec, Chris E. Forest, Rahaf Hasan, Digant Chavda

“…Due to the substantial uncertainties inherent in climate projections, this identified policy will likely be sub-optimal with respect to the actual climate trajectory that evolves in time. …”
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Stability Guaranteed Active Fault-Tolerant Control of Networked Control Systems by Shanbin Li, Dominique Sauter, Christophe Aubrun, Joseph Yamé

“…The stability guaranteed active fault-tolerant control against actuators failures and plant uncertainties in networked control systems (NCSs) is addressed. …”
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Surrogate-based model parameter optimization in simulations of the West African monsoon by M. Fischer, P. Knippertz, C. Proppe

“…The findings underscore the importance of considering uncertainties in MOO and the need for a holistic understanding of the WAM's dynamics to enhance prediction skills.…”
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Decentralized Frequency Regulation by Using Novel PID Sliding Mode Structure in Multi-Area Power Systems With Hydropower Turbines by Dao Trong Tran, Anh-Tuan Tran, van van Huynh, Ton Duc do

“…Finally, the effectiveness of the suggested scheme is further verified based on three-area EPSs with matched uncertainties, indicating that the proposed scheme achieves stable and robust performance, further confirming its superiority through simulation results.…”
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Perspectives on Soft Actor–Critic (SAC)-Aided Operational Control Strategies for Modern Power Systems with Growing Stochastics and Dynamics by Jinbo Liu, Qinglai Guo, Jing Zhang, Ruisheng Diao, Guangjun Xu

“…The ever-growing penetration of renewable energy with substantial uncertainties and stochastic characteristics significantly affects the modern power grid’s secure and economical operation. …”
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Probabilistic Forecasting of Crude Oil Prices Using Conditional Generative Adversarial Network Model with Lévy Process by Mohammed Alruqimi, Luca Di Persio

“…Additionally, the CO-CGAN integrates a Lévy process and sentiment features to better account for uncertainties and price shocks in the crude oil market. …”
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Robust optimization of stabilizing piles for landslides composed of soil–rock mixtures by Yang Yu, Songlin Liu, Qing Lü

“…Colluvial landslides are mainly composed of soil–rock mixtures with complex composition and structure, resulting in large uncertainties in mechanical properties. This leads to difficulties in designing stabilizing piles for colluvial landslides. …”
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A new optimal control approach to uncertain Euler-Lagrange equations: $ H_\infty $ disturbance estimator and generalized $ H_2 $ tracking controller by Taewan Kim, Jung Hoon Kim

“…This paper proposed a new optimal control method for uncertain Euler-Lagrange systems, focusing on estimating model uncertainties and improving tracking performance. More precisely, a linearization of the nonlinear equation was achieved through the inverse dynamic control (IDC) and an $ H_\infty $ optimal estimator was designed to address model uncertainties arising in this process. …”
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Disturbance Observer-Based Nonsingular Terminal Sliding Mode Control for Spacecraft Electromagnetic Docking by Jinghui Zhang, Guoqiang Zeng, Shifeng Zhang

“…This paper presents a novel nonlinear sliding mode control scheme that combines on-line model modification, a nonlinear sliding mode controller, and a disturbance observer to solve the essential problems in spacecraft electromagnetic docking control, such as model uncertainties, unknown external disturbances, and inherent strong nonlinearity and coupling. …”
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