activity
20172025
most citedConsensus as a Nash Equilibrium of a Dynamic Game

14 citations · 22 across the 13 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

eess.SY2022

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…

math.OC2022

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…

eess.SY2022

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…

eess.SY2022

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…

math.OC2022★ 1 cited

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…

math.OC2022

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…

math.OC2022

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…