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Adetokunbo Arogbonlo
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Journal Articles
- 2020
- [j1]Van Thanh Huynh
, Adetokunbo Arogbonlo
Design of Observers for Positive Systems With Delayed Input and Output Information. IEEE Trans. Circuits Syst. II Express Briefs 67-II(1): 107-111 (2020)
Conference and Workshop Papers
- 2024
- [c9]Parisa Jourabchi Amirkhizi, Siamak Pedrammehr
Emerging Synergies: Industry 5.0 Integration of Complex Systems. SysCon 2024: 1-8 - [c8]Hanyi Huang, Adetokunbo Arogbonlo, Samson Yu, Lee Chung Kwek:
Reinforcement Learning Integrated Active Force Control for Five-link Biped Robots. SysCon 2024: 1-6 - [c7]Ahad Zare Jond, Sina Akhbari, Siamak Pedrammehr
Higher Order Kinematics and Singularity Analysis of a Schönflies-Parallel Manipulator using Screw Theory Methodology. SysCon 2024: 1-8 - 2023
- [c6]Sudarshan Mark Samarasinghe, Ahmad Abu Alqumsan, Adetokunbo Arogbonlo, Mohammad Rokonuzzaman
Robust Cooperative Control of a Team of UAVs Carrying a Slung Payload. SMC 2023: 1780-1785 - 2022
- [c5]Mohammad Reza Chalak Qazani
Optimal MPC Horizons Tunning of Nonlinear MPC for Autonomous Vehicles Using Particle Swarm Optimisation. SMC 2022: 635-641 - [c4]Mohammad Reza Chalak Qazani
A Prediction of Time Series Driving Motion Scenarios Using LSTM and ESN. SMC 2022: 1592-1599 - [c3]Sari Al-Serri, Mohammad Reza Chalak Qazani
Implementation of the Grasshopper Optimisation Algorithm to Optimize Prediction and Control Horizons in Model Predictive Control-based Motion Cueing Algorithm. SMC 2022: 3317-3323 - 2021
- [c2]Mohammad Reza Chalak Qazani
Whale Optimization Algorithm for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm. SMC 2021: 1042-1048 - [c1]Ahmad Abu Alqumsan, Suiyang Khoo
Adaptive Neural Network Based Sliding Mode Control of Continuum Robots with Mismatched Uncertainties. SMC 2021: 2602-2607
Informal and Other Publications
- 2024
- [i2]Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Asim Bhatti, Saeid Nahavandi, Chee Peng Lim:
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis. CoRR abs/2407.15901 (2024) - [i1]Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Saeid Nahavandi, Chee Peng Lim:
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model. CoRR abs/2408.06350 (2024)
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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