14 citations · 22 across the 13 of their papers we have counts for
15 papers
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…
Sensor Fault Detection and Isolation in Autonomous Nonlinear Systems Using Neural Network-Based Observers
John Cao, Muhammad Umar B. Niazi, Matthieu Barreau +1
This paper presents a novel observer-based approach to detect and isolate faulty sensors in nonlinear systems. The proposed sensor fault detection and isolation (s-FDI) method appl…
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…
Feedback Design for Devising Optimal Epidemic Control Policies
Muhammad Umar B. Niazi, Philip E. Paré, Karl H. Johansson
This paper proposes a feedback design that effectively copes with uncertainties for reliable epidemic monitoring and control. There are several optimization-based methods to estima…
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…
Learning-based Design of Luenberger Observers for Autonomous Nonlinear Systems
Muhammad Umar B. Niazi, John Cao, Xudong Sun +2
Designing Luenberger observers for nonlinear systems involves the challenging task of transforming the state to an alternate coordinate system, possibly of higher dimensions, where…
Observer Design for the State Estimation of Epidemic Processes
Muhammad Umar B. Niazi, Karl Henrik Johansson
Although an appropriate choice of measured state variables may ensure observability, designing state observers for the state estimation of epidemic models remains a challenging tas…
Clustering-Based Average State Observer Design for Large-Scale Network Systems
Muhammad Umar B. Niazi, Xiaodong Cheng, Carlos Canudas-de-Wit +1
This paper addresses the aggregated monitoring problem for large-scale network systems with a few dedicated sensors. Full state estimation of such systems is often infeasible due t…
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…
Effective Testing Policies for Controlling an Epidemic Outbreak
Muhammad Umar B. Niazi, Alain Kibangou, Carlos Canudas-de-Wit +3
Testing is a crucial control mechanism for an epidemic outbreak because it enables the health authority to detect and isolate the infected cases, thereby limiting the disease trans…
Modeling and Control of Epidemics through Testing Policies
Muhammad Umar B. Niazi, Alain Kibangou, Carlos Canudas-de-Wit +3
Testing is a crucial control mechanism in the beginning phase of an epidemic when the vaccines are not yet available. It enables the public health authority to detect and isolate t…
A Differential Game Model of Opinion Dynamics: Accord and Discord as Nash Equilibria
Muhammad Umar B. Niazi, Arif Bülent Özgüler
A noncooperative differential (dynamic) game model of opinion dynamics is proposed. In this game, the agents' motives are shaped by their expectations of the nature of others' opin…
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…