![[ASME ASME 2015 Dynamic Systems and Control Conference - Columbus, Ohio, USA (Wednesday 28 October 2015)] Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems - A Low Complexity Gain Scheduling Strategy for Explicit Model Predictive Control of a Diesel Air Path]()
[ASME ASME 2015 Dynamic Systems and Control Conference - Columbus, Ohio, USA (Wednesday 28 October 2015)] Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems - A Low Complexity Gain Scheduling Strategy for Explicit Model Predictive Control of a Diesel Air PathHuang, Mike; Butts, Ken; Kolmanovsky, Ilya · 2015