paragon 发表于 2025-3-26 20:59:06
Discrete-Time Non-smooth Nonlinear MPC: Stability and Robustnessine systems, a new MPC set-up based on infinity norms is proposed, which is proven to be ISS to bounded additive disturbances. This ISS result does not require continuity of the system dynamics nor of the MPC value function.高贵领导 发表于 2025-3-27 05:11:19
Sampled-Data Model Predictive Control for Nonlinear Time-Varying Systems: Stability and Robustnesse proof of robust stability results, allowing also to address a very general class of nonlinear, time-varying, nonholonomic systems, subject to disturbances. The possibility of the framework to accommodate discontinuous feedbacks is essential to achieve both nominal stability and robust stability for such general classes of systems.重力 发表于 2025-3-27 08:11:59
http://reply.papertrans.cn/17/1634/163339/163339_33.pngIRATE 发表于 2025-3-27 13:18:04
http://reply.papertrans.cn/17/1634/163339/163339_34.png尾巴 发表于 2025-3-27 15:40:41
Spider and Antlion Foraging Algorithms also practically stabilizes the exact discrete-time model of the plant. The conditions are formulated in terms of the original continuoustime models and the design parameters so that they should be veri.able in advance.假设 发表于 2025-3-27 19:36:23
http://reply.papertrans.cn/17/1634/163339/163339_36.png遭遇 发表于 2025-3-27 23:49:07
http://reply.papertrans.cn/17/1634/163339/163339_37.pngentitle 发表于 2025-3-28 05:54:18
http://reply.papertrans.cn/17/1634/163339/163339_38.pngperpetual 发表于 2025-3-28 07:08:09
Anthony Brabazon,Seán McGarraghyer via an MPC strategy. Here our goal is to minimize the mismatch between the reference solution and the trajectory under control. We summarize the necessary theoretical results, discuss several aspects of the numerical implemenation and illustrate the algorithm by an example.ostrish 发表于 2025-3-28 11:42:25
Alfred R. Loeblich Jr.,Helen Tappantive Control (mp-MPC) for non-linear systems with state and input constraints. The aim is to provide an insight and understanding of multi-parametric control and its benefits for non-linear systems and outline key issues for ongoing research work.