Search Results for author: Ehsan Nekouei

Found 9 papers, 0 papers with code

Strategic Hub-Based Platoon Coordination under Uncertain Travel Times

no code implementations1 Apr 2021 Alexander Johansson, Ehsan Nekouei, Karl Henrik Johansson, Jonas Mårtensson

We show that the platoon coordination game is a potential game when the travel times are either deterministic or stochastic, and the vehicles decide on their waiting times at the beginning of their journeys.

A Model Randomization Approach to Statistical Parameter Privacy

no code implementations22 May 2021 Ehsan Nekouei, Henrik Sandberg, Mikael Skoglund, Karl H. Johansson

To ensure parameter privacy, we propose a filter design framework which consists of two components: a randomizer and a nonlinear transformation.

Multi-Fleet Platoon Matching: A Game-Theoretic Approach

no code implementations17 Feb 2022 Alexander Johansson, Ehsan Nekouei, Karl Henrik Johansson, Jonas Mårtensson

At a Nash equilibrium, vehicles with the same departure time are matched to form a platoon.

Truck Platoon Formation at Hubs: An Optimal Release Time Rule

no code implementations18 Feb 2022 Alexander Johansson, Valerio Turri, Ehsan Nekouei, Karl H. Johansson, Jonas Mårtensson

The vehicles wait at the hub, and a platoon coordinator, at each time-step, decides whether to release the vehicles from the hub in the form of a platoon or wait for more vehicles to arrive.

Optimal Privacy-Aware Dynamic Estimation

no code implementations10 Nov 2023 Chuanghong Weng, Ehsan Nekouei, Karl H. Johansson

In our setup, a private process, modeled as a first-order Markov chain, derives the states of the system, and the state estimates are shared with an untrusted party who might attempt to infer the private process based on the state estimates.

Hub-Based Platoon Formation: Optimal Release Policies and Approximate Solutions

no code implementations11 Nov 2023 Alexander Johansson, Ehsan Nekouei, Xiaotong Sun, Karl Henrik Johansson, Jonas Mårtensson

We first show that the optimal release policy in the decentralized case, where the hubs do not exchange information, is to release all trucks at the hub when the number of trucks exceeds a threshold computed by dynamic programming.

A Privacy-Preserving Framework for Cloud-Based HVAC Control

no code implementations8 Dec 2023 Zhenan Feng, Ehsan Nekouei

We cast the optimal design of the event-triggered policy as an optimal control problem wherein the objective is to minimize a linear combination of the control and communication costs.

Model Predictive Control Privacy Preserving

Survey of Distributed Algorithms for Resource Allocation over Multi-Agent Systems

no code implementations28 Jan 2024 Mohammadreza Doostmohammadian, Alireza Aghasi, Mohammad Pirani, Ehsan Nekouei, Houman Zarrabi, Reza Keypour, Apostolos I. Rikos, Karl H. Johansson

This survey paper provides a comprehensive analysis of distributed algorithms for addressing the distributed resource allocation (DRA) problem over multi-agent systems.

Distributed Optimization Scheduling

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