activity
20132026
most citedSimultaneous Mode, Input and State Set-Valued Observers with Applications to Resilient Estimation Against Sparse Attacks

3 citations · 13 across the 21 of their papers we have counts for

collaborators

24 papers

cs.CR2026

Digital Guardians: The Past and The Future of Cyber-Physical Resilience

Saurabh Bagchi, Hyunseung Kim, Tarek Abdelzaher +20

Resilience in cyber-physical systems (CPS) is the fundamental ability to maintain safety and critical functionality despite adverse "perturbations," which includes security attacks…

eess.SY2024

Optimal Interval Observers for Bounded Jacobian Nonlinear Dynamical Systems

Mohammad Khajenejad, Tarun Pati, Sze Zheng Yong

In this chapter, we introduce two interval observer designs for discrete-time (DT) and continuous-time (CT) nonlinear systems with bounded Jacobians that are affected by bounded un…

cs.AI2023

Data-Driven Model Discrimination of Switched Nonlinear Systems with Temporal Logic Inference

Zeyuan Jin, Nasim Baharisangari, Zhe Xu +1

This paper addresses the problem of data-driven model discrimination for unknown switched systems with unknown linear temporal logic (LTL) specifications, representing tasks, that…

eess.SY2022★ 1 cited

-optimal Interval Observer Synthesis for Uncertain Nonlinear Dynamical Systems via Mixed-Monotone Decompositions

Mohammad Khajenejad, Sze Zheng Yong

This paper introduces a novel -optimal interval observer synthesis for bounded-error/uncertain locally Lipschitz nonlinear continuous-time (CT) and discrete-t…

eess.SY2022

Interval Observer Synthesis for Locally Lipschitz Nonlinear Dynamical Systems via Mixed-Monotone Decompositions

Mohammad Khajenejad, Fatima Shoaib, Sze Zheng Yong

This paper proposes a novel unified interval-valued observer synthesis approach for locally Lipschitz nonlinear continuous-time (CT) and discrete-time (DT) systems with nonlinear o…

eess.SY2021

Resilient Interval Observer for Simultaneous Estimation of States, Modes and Attack Policies

Mohammad Khajenejad, Zeyuan Jin, Sze Zheng Yong

This paper considers the problem of designing interval observers for hidden mode switched nonlinear systems with bounded noise signals that are compromised by false data injection…

eess.SY2021

Guaranteed State Estimation via Indirect Polytopic Set Computation for Nonlinear Discrete-Time Systems

Mohammad Khajenejad, Fatima Shoaib, Sze Zheng Yong

This paper proposes novel set-theoretic approaches for state estimation in bounded-error discrete-time nonlinear systems, subject to nonlinear observations/constraints. By transfor…

eess.SY2021★ 2 cited

Simultaneous Mode, State and Input Set-Valued Observers for Switched Nonlinear Systems

Mohammad Khajenejad, Sze Zheng Yong

In this paper, we study the problem of designing a simultaneous mode, input, and state set-valued observer for a class of hidden mode switched nonlinear systems with bounded-norm n…

eess.SY2021

Equalized Recovery State Estimators for Linear Systems with Delayed and Missing Observations

Syed M. Hassaan, Qiang Shen, Sze Zheng Yong

This paper presents a dynamic state observer design for discrete-time linear time-varying systems that robustly achieves equalized recovery despite delayed or missing observations,…

eess.SY2020★ 2 cited

Tractable Compositions of Discrete-Time Control Barrier Functions with Application to Lane Keeping and Obstacle Avoidance

Matthew Cavorsi, Mohammad Khajenejad, Ruochen Niu +2

This paper introduces control barrier functions for discrete-time systems, which can be shown to be necessary and sufficient for controlled invariance of a given set. Moreover, we…

math.OC2020

Incremental Affine Abstraction of Nonlinear Systems

Syed M. Hassaan, Mohammad Khajenejad, Spencer Jensen +2

In this paper, we propose an incremental abstraction method for dynamically over-approximating nonlinear systems in a bounded domain by solving a sequence of linear programs, resul…

eess.SY2020

Interval Observers for Simultaneous State and Model Estimation of Partially Known Nonlinear Systems

Mohammad Khajenejad, Zeyuan Jin, Sze Zheng Yong

We study the problem of designing interval-valued observers that simultaneously estimate the system state and learn an unknown dynamic model for partially unknown nonlinear systems…

eess.SY2020

Simultaneous Input and State Interval Observers for Nonlinear Systems with Rank-Deficient Direct Feedthrough

Mohammad Khajenejad, Sze Zheng Yong

We address the problem of designing simultaneous input and state interval observers for Lipschitz continuous nonlinear systems with rank-deficient feedthrough, unknown inputs and b…

eess.SY2020★ 1 cited

Data-Driven Model Invalidation for Unknown Lipschitz Continuous Systems via Abstraction

Zeyuan Jin, Mohammad Khajenejad, Sze Zheng Yong

In this paper, we consider the data-driven model invalidation problem for Lipschitz continuous systems, where instead of given mathematical models, only prior noisy sampled data of…

eess.SY2020

Simultaneous Input and State Interval Observers for Nonlinear Systems with Full-Rank Direct Feedthrough

Mohammad Khajenejad, Sze Zheng Yong

A simultaneous input and state interval observer is presented for Lipschitz continuous nonlinear systems with unknown inputs and bounded noise signals for the case when the direct…

eess.SY2020★ 3 cited

Simultaneous Mode, Input and State Set-Valued Observers with Applications to Resilient Estimation Against Sparse Attacks

Mohammad Khajenejad, Sze Zheng Yong

A simultaneous mode, input and state set-valued observer is proposed for hidden mode switched linear systems with bounded-norm noise and unknown input signals. The observer consist…

eess.SY2020

Simultaneous input and state set-valued \mathcal{H}_{\infty}-observers for linear parameter-varying systems

Mohammad Khajenejad, Sze Zheng Yong

A fixed-order set-valued observer is presented for linear parameter-varying systems with bounded-norm noise and under completely unknown attack signals, which simultaneously finds…

math.OC2018

Mesh-Based Affine Abstraction of Nonlinear Systems with Tighter Bounds

Kanishka Raj Singh, Qiang Shen, Sze Zheng Yong

In this paper, we consider the problem of piecewise affine abstraction of nonlinear systems, i.e., the overapproximation of its nonlinear dynamics by a pair of piecewise affine fun…

math.OC2017★ 1 cited

Switching and Data Injection Attacks on Stochastic Cyber-Physical Systems: Modeling, Resilient Estimation and Attack Mitigation

Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli

In this paper, we consider the problem of attack-resilient state estimation, that is to reliably estimate the true system states despite two classes of attacks: (i) attacks on the…

eess.SY2016★ 1 cited

Set-Point Regulation of Linear Continuous-Time Systems using Neuromorphic Vision Sensors

Prince Singh, Sze Zheng Yong, Emilio Frazzoli

Recently developed neuromorphic vision sensors have become promising candidates for agile and autonomous robotic applications primarily due to, in particular, their high temporal r…

math.OC2016

Simultaneous Mode, Input and State Estimation for Switched Linear Stochastic Systems

Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli

In this paper, we propose a filtering algorithm for simultaneously estimating the mode, input and state of hidden mode switched linear stochastic systems with unknown inputs. Using…

cs.RO2016★ 1 cited

A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles

Brian Paden, Michal Cap, Sze Zheng Yong +2

Self-driving vehicles are a maturing technology with the potential to reshape mobility by enhancing the safety, accessibility, efficiency, and convenience of automotive transportat…

math.OC2013

On Minimum-time Paths of Bounded Curvature with Position-dependent Constraints

Ricardo G. Sanfelice, Sze Zheng Yong, Emilio Frazzoli

We consider the problem of a particle traveling from an initial configuration to a final configuration (given by a point in the plane along with a prescribed velocity vector) in mi…

math.OC2013★ 1 cited

A Unified Filter for Simultaneous Input and State Estimation of Linear Discrete-time Stochastic Systems

Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli

In this paper, we present a unified optimal and exponentially stable filter for linear discrete-time stochastic systems that simultaneously estimates the states and unknown inputs…