Model predictive control

National Korea Maritime & Ocean University Researchers Develop a New Control Method That Optimizes Autonomous Ship Navigation

Retrieved on: 
Thursday, March 14, 2024
Model predictive control, Assistant, Artificial intelligence, MPC, Carbon, Heart, Ship, Safety, Division, MASS, Shipbuilding

BUSAN, South Korea, March 14, 2024 /PRNewswire/ -- The study of ship manoeuvring at sea has long been the central focus of the shipping industry. With the rapid advancements in remote control, communication technologies and artificial intelligence, the concept of Maritime Autonomous Surface Ships (MASS) has emerged as a promising solution for autonomous marine navigation. This shift highlights the growing need for optimal control models for autonomous ship manoeuvring.

Key Points: 
  • With the rapid advancements in remote control, communication technologies and artificial intelligence, the concept of Maritime Autonomous Surface Ships (MASS) has emerged as a promising solution for autonomous marine navigation.
  • Designing a control system for time-efficient ship manoeuvring is one of the most difficult challenges in autonomous ship control.
  • To address this gap, a team of researchers, led by Assistant Professor Daejeong Kim from the Division of Navigation Convergence Studies at the Korea Maritime & Ocean University in South Korea, designed a novel time-optimal control method for MASS.
  • "Overall, our study addresses a critical gap in autonomous ship manoeuvring which could contribute to the development of a more technologically advanced maritime industry."

Efabless Reveals Winners of AI-Generated Silicon Design Challenge

Retrieved on: 
Thursday, June 8, 2023
Learning, Chip Chats, Model predictive control, MPC, PALO, NYU, ChatGPT, Tsinghua-Berkeley Shenzhen Institute, Silicon, Documentation, CPU, PIO, Behavior, Medical device, Video game, MATLAB, New York University, Verilog

PALO ALTO, Calif., June 08, 2023 (GLOBE NEWSWIRE) -- Efabless Corporation, the creator platform for chips, today announced the winners of its AI Generated Open-Source Silicon Design Challenge. The challenge invited participants to use generative AI to design and tapeout an open-source silicon chip and to do so in three weeks. The wide range of participants and the variety of innovative designs showed how generative AI can accelerate and democratize innovation in chips.

Key Points: 
  • PALO ALTO, Calif., June 08, 2023 (GLOBE NEWSWIRE) -- Efabless Corporation, the creator platform for chips, today announced the winners of its AI Generated Open-Source Silicon Design Challenge .
  • The challenge invited participants to use generative AI to design and tapeout an open-source silicon chip and to do so in three weeks.
  • This design is a RISC-V CPU, implemented with Verilog code produced via a series of prompts given to ChatGPT-4.
  • Efabless will now fabricate the three winning designs on its chipIgnite shuttle with the winners receiving packaged parts and evaluation boards - a value of $9,750.

Garrett Highlights Next-Gen Electrification and Connected Vehicle Innovations at Vienna Motor Symposium

Retrieved on: 
Tuesday, April 26, 2022
Annual report, Calibration, GM E-Turbo engine, Technology, Écu, VNT, U.S. Securities and Exchange Commission, Security (finance), Transport, Private Securities Litigation Reform Act, GTX, CO2, GLOBE, Model predictive control, Symposium, Miller, Form 10-K, Growth, Efficiency, Electronics, Energy management, MPC, Hydrogen, Electric turbo-compound, Nasdaq, Motion, Solution, Forward-looking statement, Formula, Gasoline, Original equipment manufacturer, Sport utility vehicle, Industry, Rail transport, 3D printing, Renewable energy, Risk management

Our constantly growing range of in-house capabilities in high-speed motor, high-power density motor and motor control software allow us to create cutting-edge differentiated technologies for electrified powertrains and connected vehicles.

Key Points: 
  • Our constantly growing range of in-house capabilities in high-speed motor, high-power density motor and motor control software allow us to create cutting-edge differentiated technologies for electrified powertrains and connected vehicles.
  • In Vienna, Garrett will be highlighting technological innovations in turbochargers, electrification and connected vehicle software:
    E-Compressor for Fuel Cell: Garretts second-generation E-Compressor for hydrogen-powered passenger vehicles and commercial vehicles supplies the necessary air flow into the fuel cell stack.
  • Connected Vehicle Software: Garrett has leveraged its expertise in advanced software solutions and close customer partnerships to develop a wide range of connected technologies that will be on display during the Symposium.
  • Garrett Motion is a differentiated technology leader, serving customers worldwide for more than 65 years with passenger vehicle, commercial vehicle, aftermarket replacement and performance enhancement solutions.

NSITEXE and Green Hills Software Partner on RISC-V Solutions

Retrieved on: 
Tuesday, January 18, 2022
Pleasure, CTO, National Information Assurance Partnership, Inc., IPS, Socs, AUTOSAR, NIAP, NSA, ISO, ASIL D, EAL, ASIL, CA, Safety, RTOS, EAL 6, Check (chess), Model predictive control, Solution, Software, IDE, VP, History, Industry, ISA, Ecosystem, Denso, Program, IEC, MCU, Efficiency, Multimedia, MCU 8051 IDE, NIST, CPU, United Kingdom, Risk management, Video game console, Green Hills Software

"I am pleased to see NSITEXE and Green Hills working together in the exciting domain of RISC-V solutions," states Matthew Slager, VP of Asia-Pacific Operations, Green Hills Software.

Key Points: 
  • "I am pleased to see NSITEXE and Green Hills working together in the exciting domain of RISC-V solutions," states Matthew Slager, VP of Asia-Pacific Operations, Green Hills Software.
  • Founded in 1982, Green Hills Software is the worldwide leader in embedded safety and security.
  • Green Hills Software is headquartered in Santa Barbara, CA, with European headquarters in the United Kingdom.
  • Green Hills, the Green Hills logo, INTEGRITY, MULTI, -velOSity, DoubleCheck and TimeMachine are trademarks or registered trademarks of Green Hills Software in the U.S. and/or internationally.All other trademarks are the property of their respective owners.

XENDEE and a Department of Energy National Laboratory Test Secure Microgrid Control System

Retrieved on: 
Wednesday, November 17, 2021
Commercial Building & Real Estate, Construction & Property, Defense, Natural Resources, Environment, Other Manufacturing, Engineering, Manufacturing, Other Energy, Software, Other Science, Utilities, Research, Oil, Gas, Other Defense, Contracts, Alternative Energy, Energy, Technology, Security, Science, Finance, Consulting, Building Systems, Professional Services, Mining, Minerals, CTO, General of the branch, Environment, Technology, Microgrid, Combat, DER, Forecasting, Investment, Communication, MPC, Model predictive control, DOE, United States Department of Energy, Risk management

As part of a U.S. Department of Energy (DOE) funded Distributed Energy Resource Management System (DERMS) project, XENDEE Corporation and a DOE national laboratory have selected a secure location to test their Model Predictive Control System.

Key Points: 
  • As part of a U.S. Department of Energy (DOE) funded Distributed Energy Resource Management System (DERMS) project, XENDEE Corporation and a DOE national laboratory have selected a secure location to test their Model Predictive Control System.
  • This will expand the supervisory control capabilities of DERMS and allow operators to manage Microgrids at scale to reduce costs, increase availability and maximize service lifetime.
  • Positronix is XENDEEs intelligent cloud-based controller that takes into consideration real time feedback from Distributed Energy Resources to manage generation and energy dispatch to optimize Microgrid operation.
  • About XENDEE: XENDEE develops world-class Microgrid decision support and control software that helps designers and investors optimize and certify the Fight-Through resilience and financial performance of projects with confidence.

Advanced Process Control Market Key Players (ABB, Emerson Electric, Siemens, and Honeywell) are Contributing in the Robust Growth During 2018-2025: Radiant Insights, Inc.

Retrieved on: 
Wednesday, September 5, 2018
Control theory, Systems science, Systems theory, Engineering, Advanced process control, Process control, Business process management, Reliability engineering, Model predictive control, Control System

Advanced Process Control implies a wide range of technologies and techniques executed within industrial development control system, and it is mainly implemented in process industries.

Key Points: 
  • Advanced Process Control implies a wide range of technologies and techniques executed within industrial development control system, and it is mainly implemented in process industries.
  • The factors that propel the growth of the Global Advanced Process Control Market include rising adoption of advanced procedure control in process manufacturing in order to lower emissions and increase operational reliability and flexibility.
  • Advanced Process Control Market may be explored by type as Multivariable Model Predictive Control, Advance Regulatory Control, Inferential Control, and Others.
  • The key applications that could be explored in the Advanced Process Control Market include Pharmaceuticals, Oil & Gas, Petrochemicals, Food & Beverages, and Others.