﻿<?xml version="1.0" encoding="utf-8"?><!--RSS generated at Monday, July 27, 2026 11:47:15 AM--><rss version="2.0"><channel><title>SharifNCS RSS Feed</title><description>SharifNCS RSS Feed</description><link>https://www.sharifncs.ir</link><copyright>7/27/2026 11:47:15 AM SharifNCS All Rights Reserved.</copyright><generator>RSS Generator</generator><managingEditor>info@sharifncs.ir (SharifNCS ) </managingEditor><webMaster>info@sharifncs.ir (SharifNCS ) </webMaster><ttl>60</ttl><item><title>Sharif University smart HVAC system 2</title><link>//www.sharifncs.ir/en/article/1/Building-automation-and-control-system</link><guid isPermaLink="false">00000000-0000-0000-0000-000000000001</guid><description>This paper presents our efforts for enhancing the HVAC system of the EE department of Sharif University to a smart system</description><pubDate>Sat, 26 Jun 2021 05:14:00 GMT</pubDate></item><item><title>Ifremer's fleets of autonomous underwater vehicles for the localization of chemical/oil pollution</title><link>//www.sharifncs.irhttp://sina.sharif.ir/~afarhadi/ijc-2014-09-17.pdf</link><guid isPermaLink="false">00000000-0000-0000-0000-000000000005</guid><description>This paper presents a supervisory multi - agent control policy over an acoustic communication network subject to imperfections (packet dropout and transmission delay) for localization of an underwater flow source (e.g., source of chemical pollution, fresh water, etc.) with an unknown location at the bottom of the ocean. A two-loop control policy combined with a coding strategy for reliable communication is presented to perform the above task. A simulator is developed and used to evaluate the trade-offs between quality of communication, transmission delay and control for a fleet of Autonomous Underwater Vehicles (AUVs) supervised over a noisy acoustic communication network by an Autonomous Surface Vessel (ASV). It is illustrated that without compensation of the effects of severe random packet dropout, localization of an unknown underwater flow source is not possible for the condition simulated just by implementing a two-loop control policy. But, a two-loop control policy combined with a strategy for reliable communication locates the unknown location of flow source.</description><pubDate>Sat, 26 Jun 2021 05:14:00 GMT</pubDate></item><item><title>Australia's automated irrigation network</title><link>//www.sharifncs.ir/en/article/6/Australia-s-automated-irrigation-network</link><guid isPermaLink="false">00000000-0000-0000-0000-000000000006</guid><description>This paper presents Australia's automated irrigation network that Dr. Farhadi (the CEO of the company) had a significant role in the design and development of this system.</description><pubDate>Sat, 26 Jun 2021 05:14:00 GMT</pubDate></item><item><title>Sharif University smart HVAC system 1</title><link>//www.sharifncs.ir/en/article/7/Smart-HVAC-system-heating-cooling-demand-minimum-energy-consumption</link><guid isPermaLink="false">00000000-0000-0000-0000-000000000007</guid><description>This paper presents a new technique for almost sure asymptotic state tracking, stability and reference tracking of nonlinear dynamic systems by remote controller over the packet erasure channel, which is an abstract model for transmission via WiFi and the Internet. By implementing a suitable linearization method, a proper encoder and decoder are presented for tracking the state trajectory of nonlinear systems at the end of communication link when the measurements are sent through the packet erasure channel. Then, a controller for reference tracking of the system is designed. In the proposed technique linearization is applied when the error between the states and an estimate of these states at the decoder increases. It is shown that the proposed technique results in almost sure asymptotic reference tracking (and hence stability) over the packet erasure channel. The satisfactory performance of the proposed state trajectory and reference tracking technique is illustrated by computer simulations by applying this technique on the unicycle model, which represents the dynamic of autonomous vehicles.</description><pubDate>Sat, 26 Jun 2021 05:14:00 GMT</pubDate></item></channel></rss>