Linear Proportional-Integral-Differential-Robustified Continuous-Time Optimal Predictive Control for a Class of Nonlinear Systems by Guilin Wu, Haisong Ang, Qingxi Li

“…This paper presents a novel robust optimal predictive control approach for a class of nonlinear continuous-time systems perturbed by unknown disturbances. …”
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Robust dispatching model of active distribution network considering PV time-varying spatial correlation by Xin Ma, Han Wu, Yue Yuan

“…Subsequently, the original mixed integer linear programming (MILP) model is transformed into the mixed integer robust programming (MIRP) model to realize robust optimal ADN dispatching. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed method.…”
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3D Path Following Control of an Autonomous Underwater Robotic Vehicle Using Backstepping Approach Based Robust State Feedback Optimal Control Law by Siddhartha Vadapalli, Subhasish Mahapatra

“…However, the dynamics of the AURV system are controlled by a robust optimal control technique. In this work, the decoupled systems for both horizontal and vertical dynamics of AURV are used for the development of the control algorithms. …”
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Optimal tracking cooperative control for cyber-physical systems : dynamic fault-tolerant control and resilient management by Wang, Bohui, Zhang, Bin, Su, Rong

“…By introducing a sampling manner, a robust optimal framework is first developed to determine the appropriate feedback gain under a cost constraint for the dynamic fault model. …”
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Sentiment Analysis on Social Media with Glove Using Combination CNN and RoBERTa by Diaz Tiyasya Putra, Erwin Budi Setiawan

“…With the large user of Twitter social media in Indonesia, sentiment analysis will be carried out using deep learning Convolutional Neural Network (CNN), Term Frequency-Inverse Document Frequency (TF-IDF), Robustly Optimized BERT Pretraining Approach (RoBERTa), Synthetic Minority Over-sampling Technique (SMOTE), and Global Vector (Glove). …”
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The Energy Consumption and Robust Case Torque Control of a Rehabilitation Hip Exoskeleton by Rabé Andersson, Niclas Björsell

“…We sought to determine whether the most robust optimal controller consumed less energy and demonstrated better performance in tracking the desired signal. …”
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Optimal Integral Sliding Mode Controller of a UAV With Considering Actuator Fault by R. Babaie, A. F. Ehyaei

“…In this paper, using the State Dependent Riccati Equation (SDRE) method, we propose a Robust Optimal Integral Sliding Mode Controller (ROISMC) to guarantee an optimal control law for a quadrotor which has become increasingly important by virtue of its high degrees of manoeuvres ability in presence of unknown time-varying external disturbances and actuator fault. …”
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Aggregating pairwise semantic differences for few-shot claim verification by Xia Zeng, Arkaitz Zubiaga

“…We compare the performance of our method with competitive baselines including fine-tuned Bidirectional Encoder Representations from Transformers (BERT)/Robustly Optimized BERT Pre-training Approach (RoBERTa) models, as well as the state-of-the-art few-shot claim verification method that leverages language model perplexity. …”
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Wind Turbine Blade Optimal Design Considering Multi-Parameters and Response Surface Method by Sang-Lae Lee, SangJoon Shin

“…This result will be extended to a new perspective approach for a more robust optimal design of a wind turbine blade.…”
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Decentralised task allocation using GDL negotiations in Multi-agent system by Hui Zou, Yan Xi

“…In large distributed systems, the optimization algorithm of task scheduling may not meet the special requirements of the domain control mechanism, i.e. robustness, optimality, timeliness of solution and computational ease of processing under limited communication. …”
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Robustness of multivariable feedback systems by Foo, Y, Yung Kuan Foo

“…At frequencies where there is a likelihood of uncertain zeros crossing the imaginary axis, it is then desirable to minimize the maximum singular value of the complementary sensitivity matrix.</p> <p>A robustness optimization problem is posed as a non-square H^∞-optimization problem. …”

Study of dual-mass dynamic vibration absorber with negative-stiffness interaction between masses by Kenji TOMITA, Takeshi MIZUNO, Yuji ISHINO, Masaya TAKASAKI

“…Although there are reports on the optimal design and robust optimal design of DVAs, there are few reports that focus on lowering the anti-resonance frequency. …”
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Distributionally Robust Collaborative Dispatch of Integrated Energy Systems with DNE Limits Considering Renewable and Contingency Uncertainties by Xiaotong Ji, Fan Xiao, Dan Liu, Ping Xiong, Mingnian Zhang

“…Collaborative optimisation of system reserves and utilisation of renewable energy is an efficient approach to achieving robust optimal dispatch of integrated energy systems (IES). …”
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Multistage robust energy management for microgrids considering uncertainty by Zhichao Shi, Hao Liang, Shengjun Huang, Venkata Dinavahi

“…Numerical results show that the proposed approach can effectively achieve the robust optimal solution, and the comparison with other methods also testifies the advantage of the proposed multistage robust model.…”
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A new local search for the bees algorithm to optimize multiple traveling salesman problem by Ali Hamza, Ahmed Haj Darwish, Omar Rihawi

“…In this paper, the Bees Algorithm is adopted to form a robust optimizer with low execution time. The proposed method uses local search operators to achieve that. …”
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Stabilization and trajectory tracking control for underactuated quadrotor helicopter subject to wind-gust disturbance by Mohd. Basri, Mohd. Ariffanan, Husain, Abdul Rashid, Danapalasingam, Kumeresan A.

“…In this paper, the dynamic model of quadrotor has been derived and a so-called robust optimal backstepping control (ROBC) is designed to address its stabilization and trajectory tracking problem in the existence of external disturbances. …”
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A novel multi-hybrid differential evolution algorithm for optimization of frame structures by Rohit Salgotra, Amir H. Gandomi

“…Abstract Differential evolution (DE) is a robust optimizer designed for solving complex domain research problems in the computational intelligence community. …”
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Scalable and robust quantum computing on qubit arrays with fixed coupling by N. H. Le, M. Cykiert, E. Ginossar

“…Allowing for imperfect Hamiltonian characterisation, we use robust optimal control to obtain fidelities around 99.99% despite 1% uncertainty in the qubit-qubit and drive-qubit couplings, and a detuning uncertainty at 0.1% of the qubit-qubit coupling strength. …”
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Research on Computer Network Security Vulnerabilities and Encryption Technology in Cloud Computing Environment by Peng Peng

“…This paper proposes a dynamic security threat assessment model and a robust optimal control strategy to improve the efficiency of detecting network vulnerabilities and the accuracy of detecting network threats in a cloud computing environment. …”
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RoBERTa-GRU: A Hybrid Deep Learning Model for Enhanced Sentiment Analysis by Kian Long Tan, Chin Poo Lee, Kian Ming Lim

“…The model leverages the strengths of both the Transformer model, represented by the Robustly Optimized BERT Pretraining Approach (RoBERTa), and the Recurrent Neural Network, represented by Gated Recurrent Units (GRU). …”
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