7月15日，我院院长付俊教授受邀参加2021 IEEE International Conference on Real-time Computing and Robotics (IEEE RCAR 2021)国际会议，并以《Deterministic dynamic optimization and control of nonlinear systems》为题做大会报告。本次会议由IEEE Robotics & Automation Society主办，中科院深圳先进技术研究院和青海大学等单位承办。据悉，本次会议已是RCAR系列会议第7次成功举办。前6届会议分别在中国、柬埔寨、日本、马尔代夫、俄罗斯、日本举行。
This talk first presents a novel dynamic optimization algorithm based on the technique of the restriction of the right-hand side, which can guarantee that the path constraint is rigorously satisfied over the entire continuous time horizon within finite iterations, and its extensions to optimal control of switched systems. Then it introduces several switching methods for switched dynamic systems, which are finite-time stabilization of switched p-normal systems, periodical sampled-data control and event-triggered sampled-data control of switched time-delay systems. By exploiting the structural information of the systems, it then reports several new constructive methods for nonholonomic mechanical systems, MIMO nonlinear systems with time-delay and deadzone nonlinearities, and nonlinear systems with time-varying or jumping parameters. Finally, this presentation outlooks the future work on optimal control of switched systems, closed-loop dynamic optimization, and hybrid intelligence optimization.