activity
20182026
most citedNonlinear Discrete-time System Identification without Persistence of Excitation: Finite-time Concurrent Learning Methods

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2026

A Hybrid End-to-End and Modular Control Architecture Toward Safe Vehicle Lateral Control: Combining Soft Actor-Critic with Model Predictive Control

Farzaneh Tatari

Connected and automated vehicles demand lateral controllers that are simultaneously accurate, low-effort, and safe under model error and sensor noise. Modular controllers such as m…

eess.SY2024

Data-driven Thermal Modeling for Electrically Excited Synchronous Motors -- A Supervised Machine Learning Approach

Farzaneh Tatari, Davis Trapp, Jason Schneider +1

This paper proposes a data-driven supervised machine learning (ML) for online thermal modeling of electrically excited synchronous motors (EESMs). EESMs are desired for EVs due to…

eess.SY2022

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-…

eess.SY2022

Deterministic and Stochastic Fixed-time Stability of Discrete-time Autonomous Systems

Farzaneh Tatari, Hamidreza Modares

This paper studies deterministic and stochastic fixed-time stability of autonomous nonlinear discrete-time (DT) systems. Lyapunov conditions are first presented under which the fix…

eess.SY2021★ 2 cited

Nonlinear Discrete-time System Identification without Persistence of Excitation: Finite-time Concurrent Learning Methods

Farzaneh Tatari, Christos Panayiotou, Marios Polycarpou

This paper deals with the problem of finite-time learning for unknown discrete-time nonlinear systems' dynamics, without the requirement of the persistence of excitation. Two finit…

cs.MA2020

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…

eess.SY2018

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…