FST MO-HQ Distinguished Talk Series – Dynamic Real-Time Optimization over Infinite HorizonsSpeaker: Prof. Lorenz T BIEGLER from Carnegie Mellon UniversityHosted by: Prof. Feng WAN

The Faculty of Science and Technology of the University of Macau hosted Prof. Lorenz T. Biegler, U.S. National Academy of Engineering member and Carnegie Mellon professor, for a seminar on “Dynamic Real-Time Optimization over Infinite Horizons” on 9 January.

Prof. Biegler presented a breakthrough in Economic Nonlinear Model Predictive Control (eNMPC), enabling real-time optimization of industrial processes over an infinite time horizon. Traditional eNMPC uses finite horizons with artificial constraints that compromise long-term economic performance. His new method applies a time-transformation technique to convert the infinite problem into a solvable finite form—retaining stability while maximizing true operational objectives.

The approach has been successfully tested on chemical reactors, power systems, and energy storage, delivering smoother control, higher efficiency, and reduced wear. It aligns control actions with actual economic goals rather than short-term proxies.

The talk, part of the FST MO-HQ Distinguished Seminar Series and hosted by Prof. Feng Wan, drew strong interest from faculty and students in engineering and applied sciences. Attendees praised its blend of theoretical innovation and industrial relevance.

A leading figure in process systems engineering, Prof. Biegler is a Fellow of AIChE, IFAC, and SIAM, with over 600 publications. His work continues to shape how industries implement intelligent, sustainable automation. This infinite-horizon framework represents a major step toward smarter, more economically optimal control systems—offering significant potential for green manufacturing and resilient energy infrastructure.

澳門大學科技學院於1月9日邀請美國國家工程院院士、卡內基梅隆大學教授洛倫茨·T·比格勒（Lorenz T. Biegler）舉行題為「無限時域動態實時優化」的講座。

Biegler教授介紹了經濟型非線性模型預測控制（eNMPC）領域的一項突破：實現工業過程在無限時間範圍內的實時優化。傳統eNMPC採用有限時域並引入人為約束，往往損害長期經濟效益；而他的新方法運用時間變換技術，將無限問題轉化為可求解的有限形式，在確保系統穩定性的同時，最大化真實運營目標。

該方法已在化學反應器、電力系統及儲能裝置中成功驗證，實現更平穩的控制、更高效率與更低設備磨損，使控制策略真正契合經濟目標，而非僅追求短期指標。

本次講座為科技學院傑出講座系列之一，由萬峰教授主持，吸引了眾多工程與應用科學領域的師生參與。與會者高度評價其理論創新與工業應用價值的緊密結合。

作為過程系統工程領域的權威，Biegler教授是美國化學工程師學會（AIChE）、國際自動控制聯合會（IFAC）及工業與應用數學學會（SIAM）會士，發表論文逾600篇。其研究持續推動產業邁向智能化與可持續自動化。此無限時域框架標誌著邁向更智能、經濟效益更優的控制系統的重要一步，對綠色製造與韌性能源基礎設施具有廣闊應用前景。