Nonlinear Hybrid Systems Identification using Kernel-Based Techniques
Nonlinear Hybrid Systems Identification using Kernel-Based Techniques is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include kernel, Nonlinear system identification, computer science, identification, piecewise linear function, system identification, mathematical optimization, hybrid system, model predictive control, piecewise function, fault detection and isolation, nonlinear system, mathematics, and algorithm. Hybrid systems can describe in an unified setting many processes which combine continuous/discrete dynamics and logic rules.