Dragan Nesic

On Joint Reconstruction of State and Input-Output Injection Attacks for Nonlinear Systems

Tianci Yang, Carlos Murguia, Chen Lv, Dragan Nesic, Chao Huang

Journal article  |  2022  |  IEEE CONTROL SYSTEMS LETTERS

We address the problem of robust state reconstruction for discrete-time nonlinear systems when the actuators and sensors are injec..

Tuning of model predictive engine controllers over transient drive cycles

Alejandro Maass, Chris Manzie, Iman Shames, Robert Chin, Dragan Nesic, Nalika Ulapane, Hayato Nakada

Conference Proceedings  |  2021  |  IFAC PAPERSONLINE

A framework for tuning the parameters of model predictive controllers (MPCs) based on gradient-free optimisation (GFO) is proposed..

Practical exponential stability and closeness of solutions for singularly perturbed systems via averaging

Mohammad Deghat, Saeed Ahmadizadeh, Dragan Nesic, Chris Manzie

Journal article  |  2021  |  AUTOMATICA

This paper studies the behavior of singularly perturbed nonlinear differential equations with boundary-layer solutions that do not..

An Unknown Input Multiobserver Approach for Estimation and Control Under Adversarial Attacks

Tianci Yang, Carlos Murguia, Margreta Kuijper, Dragan Nesic

Journal article  |  2021  |  IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS

We address the problem of state estimation, attack isolation, and control of discrete-time linear time-invariant systems under (po..

Finite-Horizon Discounted Optimal Control: Stability and Performance

Mathieu Granzotto, Romain Postoyan, Lucian Busoniu, Dragan Nesic, Jamal Daafouz

Journal article  |  2021  |  IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Motivated by (approximate) dynamic programming and model predictive control problems, we analyse the stability of deterministic no..

Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods

Y Lin, I Shames, D Nesic

Journal article  |  2021  |  IEEE Transactions on Control of Network Systems

We study the problem of minimizing the sum of potentially non-differentiable convex cost functions with partially overlapping depe..

Stable near-optimal control of nonlinear switched discrete-time systems: an optimistic planning-based approach

M Granzotto, R Postoyan, L Busoniu, D Nesic, J Daafouz

Journal article  |  2021  |  IEEE Transactions on Automatic Control

Originating in the artificial intelligence literature, optimistic planning(OP) is an algorithm that generates near-optimal control..

Nonlinear Sampled-Data Systems

Dragan Nesic, Romain Postoyan

Book Chapter  |  2021

Secure Networked Control Systems Design Using Semi-homomorphic Encryption

Y Lin, F Farokhi, I Shames, D Nešić

Book Chapter  |  2021  |  Lecture Notes in Control and Information Sciences

A secure and private nonlinear networked control systems (NCSs) design using semi-homomorphic encryption is studied. Static feedba..

On Privacy of Dynamical Systems: An Optimal Probabilistic Mapping Approach

Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic, H Vincent Poor

Journal article  |  2021  |  IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY

We address the problem of maximizing privacy of stochastic dynamical systems whose state information is released through quantized..