14 citations · 22 across the 13 of their papers we have counts for
7 papers · 1 filter
KKL Observer Synthesis for Nonlinear Systems via Physics-Informed Learning
M. Umar B. Niazi, John Cao, Matthieu Barreau +1
This paper proposes a novel learning approach for designing Kazantzis-Kravaris or nonlinear Luenberger (KKL) observers for autonomous nonlinear systems. The design of a KKL observe…
Parameterization-Free Observer Design for Nonlinear Systems: Application to the State Estimation of Networked SIR Epidemics
Muhammad Umar B. Niazi, Karl H. Johansson
Traditional observer design methods rely on certain properties of the system's nonlinearity, such as Lipschitz continuity, one-sided Lipschitzness, a bounded Jacobian, or quadratic…
Resilient Set-based State Estimation for Linear Time-Invariant Systems Using Zonotopes
Muhammad Umar B. Niazi, Amr Alanwar, Michelle S. Chong +1
This paper considers the problem of set-based state estimation for linear time-invariant (LTI) systems under time-varying sensor attacks. Provided that the LTI system is stable and…
Robust Data-Driven Predictive Control of Unknown Nonlinear Systems using Reachability Analysis
Mahsa Farjadnia, Amr Alanwar, Muhammad Umar B. Niazi +2
This work proposes a robust data-driven predictive control approach for unknown nonlinear systems in the presence of bounded process and measurement noise. Data-driven reachable se…
Secure State Estimation against Sparse Attacks on a Time-varying Set of Sensors
Zishuo Li, Muhammad Umar B. Niazi, Changxin Liu +2
This paper studies the problem of secure state estimation of a linear time-invariant (LTI) system with bounded noise in the presence of sparse attacks on an unknown, time-varying s…
Data-driven Set-based Estimation of Polynomial Systems with Application to SIR Epidemics
Amr Alanwar, Muhammad Umar B. Niazi, Karl H. Johansson
This paper proposes a data-driven set-based estimation algorithm for a class of nonlinear systems with polynomial nonlinearities. Using the system's input-output data, the proposed…
Consensus as a Nash Equilibrium of a Dynamic Game
Muhammad Umar B. Niazi, Arif Bülent Özgüler, Aykut Yıldız
Consensus formation in a social network is modeled by a dynamic game of a prescribed duration played by members of the network. Each member independently minimizes a cost function…