4 citations · 5 across the 10 of their papers we have counts for
10 papers
A Convex Optimization Approach for Control of Linear Quadratic Systems with Multiplicative Noise via System Level Synthesis
Majid Mazouchi, Farzaneh Tatari, Hamidreza Modares
This paper presents a convex optimization-based solution to the design of state-feedback controllers for solving the linear quadratic regulator (LQR) problem of uncertain discrete-…
Performance Analysis of Event-Triggered Consensus Control for Multi-agent Systems under Cyber-Physical Attacks
Farzaneh Tatari, Aquib Mustafa, Majid Mazouchi +3
This work presents a rigorous analysis of the adverse effects of cyber-physical attacks on the performance of multi-agent consensus with event-triggered control protocols. It is sh…
A Risk-Averse Preview-based -Learning Algorithm: Application to Highway Driving of Autonomous Vehicles
Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares
A risk-averse preview-based -learning planner is presented for navigation of autonomous vehicles. To this end, the multi-lane road ahead of a vehicle is represented by a finite-…
Finite-time Koopman Identifier: A Unified Batch-online Learning Framework for Joint Learning of Koopman Structure and Parameters
Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares
In this paper, a unified batch-online learning approach is introduced to learn a linear representation of nonlinear system dynamics using the Koopman operator. The presented system…
Assured Learning-enabled Autonomy: A Metacognitive Reinforcement Learning Framework
Aquib Mustafa, Majid Mazouchi, Subramanya Nageshrao +1
Reinforcement learning (RL) agents with pre-specified reward functions cannot provide guaranteed safety across variety of circumstances that an uncertain system might encounter. To…
A Convex Programming Approach to Data-Driven Risk-Averse Reinforcement Learning
Yuzhen Han, Majid Mazouchi, Subramanya Nageshrao +1
This paper presents a model-free reinforcement learning (RL) algorithm to solve the risk-averse optimal control (RAOC) problem for discrete-time nonlinear systems. While successful…
Data-driven Dynamic Multi-objective Optimal Control: An Aspiration-satisfying Reinforcement Learning Approach
Majid Mazouchi, Yongliang Yang, Hamidreza Modares
This paper presents an iterative data-driven algorithm for solving dynamic multi-objective (MO) optimal control problems arising in control of nonlinear continuous-time systems. It…
Fully-Heterogeneous Containment Control of a Network of Leader-Follower Systems
Majid Mazouchi, Farzaneh Tatari, Bahare Kiumarsi +1
This paper develops a distributed solution to the fully-heterogeneous containment control problem (CCP), for which not only the followers' dynamics but also the leaders' dynamics a…
Secure Event-Triggered Distributed Kalman Filters for State Estimation over Wireless Sensor Networks
Aquib Mustafa, Majid Mazouchi, Hamidreza Modares
In this paper, we analyze the adverse effects of cyber-physical attacks as well as mitigate their impacts on the event-triggered distributed Kalman filter (DKF). We first show that…
Observer-based Adaptive Optimal Output Containment Control problem of Linear Heterogeneous Multi-agent Systems with Relative Output Measurements
Majid Mazouchi, Mohammad Bagher Naghibi-Sistani, Seyed Kamal Hosseini Sani +2
This paper develops an optimal relative output-feedback based solution to the containment control problem of linear heterogeneous multi-agent systems. A distributed optimal control…