Patrik Kolaric

According to our database, Patrik Kolaric authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Framework and experiment for a constraints-defined longitudinal dynamics control for autonomous driving in traffic.

Chunan Huang, Junbo Jing, Patrik Kolaric, Jingxuan Liu, Shen Qu, Yufei Zhao, Lei Wang

Proceedings of the IEEE Conference on Control Technology and Applications, 2024

2023

Adaptive Distributed Synchronization of Multiple Vehicles With Actuator Nonlinearities: Design and Experimentation.

Qiyu Yang, Patrik Kolaric, Ci Chen, Kan Xie, Frank L. Lewis, Shengli Xie

IEEE Trans. Ind. Electron., July, 2023

Inverse Reinforcement Q-Learning Through Expert Imitation for Discrete-Time Systems.

Wenqian Xue, Bosen Lian, Jialu Fan, Patrik Kolaric, Tianyou Chai, Frank L. Lewis

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Gaussian Process Model of Uncertainty in Safety-Critical Autonomous Driving.

Patrik Kolaric, Junbo Jing, Chunan Huang, Shen Qu, Jingxuan Liu, Yufei Zhao, Lei Wang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Practical MPC Method for Autonomous Driving Longitudinal Dynamic Control's Real-World Challenges.

Junbo Jing, Jingxuan Liu, Chunan Huang, Patrik Kolaric, Shen Qu, Lei Wang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Inverse Reinforcement Learning in Tracking Control Based on Inverse Optimal Control.

Wenqian Xue, Patrik Kolaric, Jialu Fan, Bosen Lian, Tianyou Chai, Frank L. Lewis

IEEE Trans. Cybern., 2022

2020

Quantization-Mitigation-Based Trajectory Control for Euler-Lagrange Systems with Unknown Actuator Dynamics.

Yi Lyu, Qiyu Yang, Patrik Kolaric

Sensors, 2020

Optimal dynamic Control Allocation with guaranteed constraints and online Reinforcement Learning.

Patrik Kolaric, Victor G. Lopez, Frank L. Lewis

Autom., 2020

Local Policy Optimization for Trajectory-Centric Reinforcement Learning.

Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020