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SUMMARY:Enhancing the Efficiency and Reliability of UAV Systems: A Lyapunov-Based Stabilizing Model Predictive Control Framework
DESCRIPTION:[]  Join the IEEE Toronto Instrumentation & Measurement – Robotics & Automation Joint Chapter for a technical talk presented by Dr. Binyan Xu from University of Guelph.  Monday\, July 7\, 2025 @ 10:30 – 11:30 AM (EST)  Abstract: The use of Unmanned Aerial Vehicles (UAVs) has expanded significantly over recent decades\, driven by their flexibility\, efficiency\, cost-effectiveness\, and capability to operate in dangerous or inaccessible environments. With rising demands\, UAV systems are increasingly expected to achieve higher levels of autonomy. Model predictive control (MPC)\, an advanced control methodology that leverages online optimization\, provides notable advantages such as optimal performance\, efficient handling of multivariable systems\, and explicit constraint management\, making it a promising solution for UAV control challenges. However\, ensuring closed-loop performance with manageable computational demands remains challenging due to the highly nonlinear dynamics of UAVs and the computational complexity of MPC.  This talk introduces a Lyapunov-based MPC framework designed specifically to address these challenges\, offering stabilized and computationally efficient MPC strategies tailored for UAV applications. Applications of this framework\, including trajectory tracking and formation control\, will be demonstrated to illustrate its effectiveness. Additionally\, the integration of this framework with other Lyapunov-based control techniques for handling unexpected actuator faults and communication disruptions will be discussed\, highlighting its potential to further enhance UAV operational efficiency and reliability.  Speaker(s): Binyan Xu\, Ph.D.\,   Virtual: https://events.vtools.ieee.org/m/487504
URL:https://www.ieeetoronto.ca/event/enhancing-the-efficiency-and-reliability-of-uav-systems-a-lyapunov-based-stabilizing-model-predictive-control-framework/
LOCATION:Virtual: https://events.vtools.ieee.org/m/487504
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DTSTART;TZID=UTC:20250721T140000
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SUMMARY:Unconventional Wearables and their Application in Health Monitoring
DESCRIPTION:[]  Join the IEEE Toronto Instrumentation & Measurement – Robotics & Automation Joint Chapter for a technical talk presented by Dr. Shideh Kabiri Ameri from Queen’s University.  Monday\, July 21\, 2025 @ 2:00 – 3:00 PM (EST)  Abstract: Wearable devices for health monitoring are conveniently being miniaturized\, their functionalities have been increased\, and they are rapidly being integrated into our daily life. However\, the current commercialized wearables are not mechanically compatible with soft\, stretchable and dynamic skin which is normally the first point of contact to the body in wearables. This results not only in discomfort but also causes low fidelity and reliability during long term sensing.  In this talk\, Dr. Kabiri will discuss various novel approaches they have taken to address these issues. Their developed unconventional wearable devices for health monitoring have high sensing performance and low motion artifacts\, and in some cases offer visual imperceptibility and non-intrusive sensing that satisfy the user’s privacy and mental comfort.  Speaker(s): Shideh Kabiri Ameri\, Ph.D.\,   Virtual: https://events.vtools.ieee.org/m/486792
URL:https://www.ieeetoronto.ca/event/unconventional-wearables-and-their-application-in-health-monitoring/
LOCATION:Virtual: https://events.vtools.ieee.org/m/486792
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