For more details:

https://carleton.ca/sce/4th-year-capstone-project-fair/congratulations-to-the-2022-2023-winners-in-the-following-categories/

The IEEE/ASME Transactions on Mechatronics publishes high quality technical papers on technological advances in mechatronics. A primary purpose of the IEEE/ASME Transactions on Mechatronics is to have an archival publication which encompasses both theory and practice. Papers published in the IEEE/ASME Transactions on Mechatronics disclose significant new knowledge needed to implement intelligent mechatronics systems, from analysis and design through simulation and hardware and software implementation. The Transactions also contains a letters section dedicated to rapid publication of short correspondence items concerning new research results.

For more details about the journal visit

http://www.ieee-asme-mechatronics.info/

As a result of the research collaboration with Prof. Yang Shi in University of Victoria, a monograph on marine vehicle control system design is published by Springer Nature. This is the first book in the world introducing a novel optimization-based constrained control framework (the Model Predictive Control) for marine vehicle systems with both rigorous theory development and practical implementation guidance. The book also comes with an open-source code base for all the examples discussed in the book.

Y. Shi, C. Shen, H. Wei, and K. Zhang, Advanced Model Predictive Control for Autonomous Marine Vehicles, Springer Nature, 2023, ISBN 978-3-031-19353-8

https://link.springer.com/book/10.1007/978-3-031-19354-5

Code: https://github.com/ACIPL/MPC4AMVs 

The IEEE CJECE (ISSN-0840-8688), issued quarterly, has been publishing high-quality refereed scientific papers in all areas of electrical and computer engineering since 1976. Sponsored by IEEE Canada (The Institute of Electrical and Electronics Engineers, Inc., Canada), the IEEE CJECE complements other IEEE technical journals and will be of particular interest to anyone involved in research and development activities in all the subfields of electrical and computer engineering (ECE) and in particular in the increasingly multidisciplinary areas of ECE. This is one of many avenues for IEEE Canada to provide increased scientific and professional value for its members. 

For more details about the journal visit

http://journal.ieee.ca/en/index.html

The past few decades have witnessed the great success of model predictive control (MPC) in process industries, as well as the increasing interest in applying MPC more widely. Being an optimal control method, the salient constraint handling capability makes MPC a flexible and powerful design framework for a broad spectrum of control applications. The bottleneck of MPC used to be the heavy online computational burden, but with the fast advancement in computing hardware and software technologies, this major barrier has been largely removed. More and more research projects are launched in both industry and academia investigating the possibility of leveraging MPC to improve system performances.

In particular, the study of autonomous vehicle (AV) systems, such as unmanned aerial vehicles, autonomous (ground) vehicles, autonomous marine vehicles, continue to be important as it is bringing significant benefits in terms of safety enhancement, efficiency improvement, cost saving, risk reduction, etc. The unique advantage of MPC comes from the prediction and optimization paradigm which facilitates the incorporation of predictive, real-time, and/or historical data (from communication infrastructure) for optimal solutions to planning, navigation, and control problems. The combination of MPC with other control methodologies (e.g., adaptive control, sliding mode control, data-driven control, intelligent control, etc.) further extend the ability of the AV system for better performances and wiser decisions. The goal of this Special Issue is to provide a forum to exhibit recent developments in MPC theories, methodologies, techniques, and their applications for AV systems. We are seeking high-quality original contributions, soliciting high-level technical papers on the related topics.

For more details visit the journal website at

https://ietresearch.onlinelibrary.wiley.com/hub/journal/17518652/homepage/call-for-papers/si-2023-000573

“Towards Smarter and Greener Integrated Energy Systems”

IEEE Victoria and Ottawa Sections will jointly host the annual Canadian Electrical Power and  Energy Conference (EPEC 2022) virtually online that provides an opportunity for experts from industry, academia, government sector and other interested organizations from Canada and abroad to present and discuss the latest developments in the electric power and energy systems: academic, industrial and government research and development, industrial and business trends and challenges, as well as regulatory and policy aspects. This includes debate on the potential impact of these developments on the society. The conference provides an international forum for the presentation of peer-reviewed papers and presentations on power energy research and development, applications and their implementations.

For more details visit the conference website at

https://epec2022.ieee.ca/

Autonomous vehicle technology is continuing to advance, bringing significant benefits to humanity in terms of traffic congestion reduction, safety enhancements, stress-free travel, fuel cost savings, pollutant emission reduction, etc., and it is widely seen as the future of motorized mobility. This Topic is seeking high-quality original contributions, soliciting high-level technical papers addressing the main research challenges related to autonomous vehicles. Potential topics include but are not limited to:

Sensing and control for autonomous vehicles; 

Mapping and localization for autonomous vehicles; 

Path planning for autonomous vehicles; 

Computer vision for autonomous vehicles; 

AI-based auto-driving; 

Sensor fusion in autonomous vehicles; 

5G for autonomous vehicles; 

Risk management of autonomous vehicles; 

Automotive cybersecurity, liability, and privacy; 

Intelligent transportation systems; 

Human factors of automated driving; 

Driver behavior; 

Human–machine interface.

For more details please visit

https://www.mdpi.com/topics/vehicle_safety_and_automated_driving

I am happy to announce that the Natural Sciences and Engineering Research Council of Canada (NSERC) has approved funding for my research program entitled "Towards A Reliable Optimization-based Design Framework for Autonomy and Control of Robotic Systems". 

This program aims to integrate advanced optimization technology in the autonomous robotic vehicle (ARV) system control and autonomy layer design and address the most challenging issues including: 1) Reliability, 2) Applicability 3) Scalability, 4) Real-Time Capability. The program will develop a novel analysis, synthesis and design toolkit for the ARV control system design. The results developed in the program are expected to improve the reliability and operability of autonomous robotic systems, lower the risks and costs during their operations, and therefore benefit the Canadian society by enabling innovative and intelligent robotic applications and provide tremendous opportunities for training HQP for the fast-growing robotics industry in Canada.

Our paper entitled "NMPC Design for AUV Dynamic Positioning Control with Incremental Input Constraints" has been accepted at the IEEE-IES ICPS 2022. It will be presented at the conference in May, 2022. For more information about the conference check the link below

https://icps2022.com/

Welcome! Bienvenue!

Mr. Hang Gu is going to graduate from the EE progam at Carleton University in Summer 2022. After graduation, Hang will be working at our lab towards a MASc degree in the ECE program. Cheers!