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ORCIDMajid Mazouchi
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2020 – today
- 2024
[j10]Majid Mazouchi, Hamidreza Modares:
Data-driven safe control via finite-time Koopman identifier. Int. J. Control 97(10): 2284-2297 (2024)- 2023
- [j9]Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares:
Finite-time Koopman Identifier: A Unified Batch-online Learning Framework for Joint Learning of Koopman Structure and Parameters. J. Mach. Learn. Res. 24: 336:1-336:35 (2023) - [j8]Majid Mazouchi
, Subramanya Nageshrao, Hamidreza Modares:
A Risk-Averse Preview-Based Q-Learning Algorithm: Application to Highway Driving of Autonomous Vehicles. IEEE Trans. Control. Syst. Technol. 31(4): 1803-1818 (2023) - [j7]Farzaneh Tatari, Majid Mazouchi, Hamidreza Modares:
Fixed-Time System Identification Using Concurrent Learning. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4892-4902 (2023) - [j6]Aquib Mustafa, Majid Mazouchi, Hamidreza Modares:
Secure Event-Triggered Distributed Kalman Filters for State Estimation Over Wireless Sensor Networks. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 1268-1283 (2023) - 2022
- [j5]Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares:
Conflict-Aware Safe Reinforcement Learning: A Meta-Cognitive Learning Framework. IEEE CAA J. Autom. Sinica 9(3): 466-481 (2022) - [j4]Majid Mazouchi, Farzaneh Tatari, Bahare Kiumarsi, Hamidreza Modares:
Fully Heterogeneous Containment Control of a Network of Leader-Follower Systems. IEEE Trans. Autom. Control. 67(11): 6187-6194 (2022) - [j3]Majid Mazouchi, Yongliang Yang, Hamidreza Modares:
Data-Driven Dynamic Multiobjective Optimal Control: An Aspiration-Satisfying Reinforcement Learning Approach. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6183-6193 (2022) - [c4]Farzaneh Tatari, Aquib Mustafa, Majid Mazouchi, Hamidreza Modares, Christos G. Panayiotou, Marios M. Polycarpou:
Performance Analysis of Event-Triggered Consensus Control for Multi-agent Systems under Cyber-Physical Attacks. ACC 2022: 310-315 - [i9]Majid Mazouchi, Aquib Mustafa, Hamidreza Modares, Christos G. Panayiotou, Marios M. Polycarpou:
Performance Analysis of Event-Triggered Consensus Control for Multi-agent Systems under Cyber-Physical Attacks. CoRR abs/2201.02997 (2022) - [i8]Majid Mazouchi, Hamidreza Modares:
Data-driven Robust LQR with Multiplicative Noise via System Level Synthesis. CoRR abs/2204.02883 (2022) - 2021
- [j2]Amin Vahidi-Moghaddam, Majid Mazouchi, Hamidreza Modares:
Memory-Augmented System Identification With Finite-Time Convergence. IEEE Control. Syst. Lett. 5(2): 571-576 (2021) - [c3]Amin Vahidi-Moghaddam, Majid Mazouchi, Hamidreza Modares:
Learning Dynamics System Models with Prescribed-Performance Guarantees using Experience-Replay. ACC 2021: 1941-1946 - [c2]Yuzhen Han, Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares:
A One-shot Convex Optimization Approach to Risk-Averse Q-Learning. CDC 2021: 102-107 - [i7]Aquib Mustafa, Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares:
Assured Learning-enabled Autonomy: A Metacognitive Reinforcement Learning Framework. CoRR abs/2103.12558 (2021) - [i6]Yuzhen Han, Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares:
A Convex Programming Approach to Data-Driven Risk-Averse Reinforcement Learning. CoRR abs/2103.14606 (2021) - [i5]Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares:
Finite-time Koopman Identifier: A Unified Batch-online Learning Framework for Joint Learning of Koopman Structure and Parameters. CoRR abs/2105.05903 (2021) - [i4]Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares:
A Risk-Averse Preview-based Q-Learning Algorithm: Application to Highway Driving of Autonomous Vehicles. CoRR abs/2112.03232 (2021) - 2020
- [c1]Yongliang Yang, Majid Mazouchi, Hamidreza Modares:
Data-Driven Solutions to Mixed $H_{2}/H_{\infty}$ Control: A Hamilton-Inequality-Driven Reinforcement Learning Approach. CCTA 2020: 340-345 - [i3]Majid Mazouchi, Farzaneh Tatari, Bahare Kiumarsi, Hamidreza Modares:
Fully-HeterogeneousContainment Control of a Network of Leader-Follower Systems. CoRR abs/2004.03725 (2020) - [i2]Majid Mazouchi, Yongliang Yang, Hamidreza Modares:
Data-driven Dynamic Multi-objective Optimal Control: An Aspiration-satisfying Reinforcement Learning Approach. CoRR abs/2005.07118 (2020)
2010 – 2019
- 2018
- [j1]Majid Mazouchi, Mohammad-Bagher Naghibi-Sistani, Seyed Kamal Hosseini Sani:
A novel distributed optimal adaptive control algorithm for nonlinear multi-agent differential graphical games. IEEE CAA J. Autom. Sinica 5(1): 331-341 (2018) - [i1]Majid Mazouchi, Mohammad-Bagher Naghibi-Sistani, Seyed Kamal Hosseini Sani, Farzaneh Tatari, Hamidreza Modares:
Observer-based Adaptive Optimal Output Containment Control problem of Linear Heterogeneous Multi-agent Systems with Relative Output Measurements. CoRR abs/1803.11411 (2018)
Coauthor Index
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