34 citations · 228 across the 36 of their papers we have counts for
20 papers · 1 filter
Distributionally Time-Varying Online Stochastic Optimization under Polyak-Łojasiewicz Condition with Application in Conditional Value-at-Risk Statistical Learning
Yuen-Man Pun, Farhad Farokhi, Iman Shames
In this work, we consider a sequence of stochastic optimization problems following a time-varying distribution via the lens of online optimization. Assuming that the loss function…
Secure and Private Implementation of Dynamic Controllers Using Semi-Homomorphic Encryption
Carlos Murguia, Farhad Farokhi, Iman Shames
This paper presents a secure and private implementation of linear time-invariant dynamic controllers using Paillier's encryption, a semi-homomorphic encryption method. To avoid ove…
Ensuring Privacy with Constrained Additive Noise by Minimizing Fisher Information
Farhad Farokhi, Henrik Sandberg
The problem of preserving the privacy of individual entries of a database when responding to linear or nonlinear queries with constrained additive noise is considered. For privacy…
Preserving Privacy of Finite Impulse Response Systems
Giulio Bottegal, Farhad Farokhi, Iman Shames
Adding input and output noises for increasing model identification error of finite impulse response (FIR) systems is considered. This is motivated by the desire to protect the mode…
Scalable computation for optimal control of cascade systems with constraints
Michael Cantoni, Farhad Farokhi, Eric C. Kerrigan +1
A method is devised for numerically solving a class of finite-horizon optimal control problems subject to cascade linear discrete-time dynamics. It is assumed that the linear state…
Preserving Privacy of Agents in Participatory-Sensing Schemes for Traffic Estimation
Farhad Farokhi, Iman Shames
A measure of privacy infringement for agents (or participants) travelling across a transportation network in participatory-sensing schemes for traffic estimation is introduced. The…
Optimal State Estimation with Measurements Corrupted by Laplace Noise
Farhad Farokhi, Jezdimir Milosevic, Henrik Sandberg
Optimal state estimation for linear discrete-time systems is considered. Motivated by the literature on differential privacy, the measurements are assumed to be corrupted by Laplac…
On Reconstructability of Quadratic Utility Functions from the Iterations in Gradient Methods
Farhad Farokhi, Iman Shames, Michael G. Rabbat +1
In this paper, we consider a scenario where an eavesdropper can read the content of messages transmitted over a network. The nodes in the network are running a gradient algorithm t…
Scheduling Rigid Demands on Continuous-Time Linear Shift-Invariant Systems
Farhad Farokhi, Michael Cantoni, Iman Shames
We consider load scheduling on constrained continuous-time linear dynamical systems, such as automated irrigation and other distribution networks. The requested loads are rigid, i.…
Quadratic Gaussian Privacy Games
Farhad Farokhi, Henrik Sandberg, Iman Shames +1
A game-theoretic model for analysing the effects of privacy on strategic communication between agents is devised. In the model, a sender wishes to provide an accurate measurement o…
Budget-Constrained Contract Design for Effort-Averse Sensors in Averaging Based Estimation
Farhad Farokhi, Iman Shames, Michael Cantoni
Consider a group of effort-averse, or lazy, sensors that seek to minimize the effort invested to collect measurements of a variable. Increasing the effort invested by the sensors i…
SiMpLIfy: A Toolbox for Structured Model Reduction
Martin Biel, Farhad Farokhi, Henrik Sandberg
In this paper, we present a toolbox for structured model reduction developed for MATLAB. In addition to structured model reduction methods using balanced realizations of the subsys…
A Faithful Distributed Implementation of Dual Decomposition and Average Consensus Algorithms
Takashi Tanaka, Farhad Farokhi, Cédric Langbort
We consider large scale cost allocation problems and consensus seeking problems for multiple agents, in which agents are suggested to collaborate in a distributed algorithm to find…
Stochastic Sensor Scheduling for Networked Control Systems
Farhad Farokhi, Karl H. Johansson
Optimal sensor scheduling with applications to networked estimation and control systems is considered. We model sensor measurement and transmission instances using jumps between st…
Adaptive Control Design under Structured Model Information Limitation: A Cost-Biased Maximum-Likelihood Approach
Farhad Farokhi, Karl H. Johansson
Networked control strategies based on limited information about the plant model usually results in worse closed-loop performance than optimal centralized control with full plant mo…
Distributed MPC Via Dual Decomposition and Alternating Direction Method of Multipliers
Farhad Farokhi, Iman Shames, Karl H. Johansson
A conventional way to handle model predictive control (MPC) problems distributedly is to solve them via dual decomposition and gradient ascent. However, at each time-step, it might…
Optimal Control Design under Limited Model Information for Discrete-Time Linear Systems with Stochastically-Varying Parameters
Farhad Farokhi, Karl H. Johansson
The value of plant model information available in the control design process is discussed. We design optimal state-feedback controllers for interconnected discrete-time linear syst…
Decentralized Disturbance Accommodation with Limited Plant Model Information
F. Farokhi, C. Langbort, K. H. Johansson
The design of optimal disturbance accommodation and servomechanism controllers with limited plant model information is considered in this paper. Their closed-loop performance are c…
Optimal Disturbance Accommodation with Limited Model Information
F. Farokhi, C. Langbort, K. H. Johansson
The design of optimal dynamic disturbance accommodation controller with limited model information is considered. We adapt the family of limited model information control design str…
Optimal Structured Static State-Feedback Control Design with Limited Model Information for Fully-Actuated Systems
Farhad Farokhi, Cedric Langbort, Karl H. Johansson
We introduce the family of limited model information control design methods, which construct controllers by accessing the plant's model in a constrained way, according to a given d…