Recently, the cell mapping methods invented by CS Hsu of UC Berkeley in the 1980s have
become popular again in the research community. As we enter the age of big data and high …

A hybrid method is proposed to take advantages of evolutionary algorithms (EAs) and the
simple cell mapping (SCM) for multi-objective optimization problems (MOPs). The hybrid …

This paper investigates the tracking control problem for a rotating flexible beam. A
proportional-integral-derivative control is designed to meet multiple objectives including …

The cell-mapping method, due to its global optimality, has been applied to solve multi-
objective optimization problems (MOPs) and optimal control problems. However, the curse …

The multi-objective optimal control design usually generates hundreds or thousands of
Pareto optimal solutions. How to assist a user to select an appropriate controller to …

We present a method for multi-objective optimization problems based on evolutionary
algorithms and the cell mapping methods developed by the late Professor CS Hsu of UC …

The most important part of the control design for nonlinear dynamical systems is to
guarantee the stability. Then, the control is quantitatively designed to meet multiple and …

This paper presents an experimental study of robustness of multi-objective optimal sliding
mode control, which is designed in a previous study. Inertial and stiffness uncertainties are …

In this chapter, we consider equality constrained bi-level multi-objective optimization
problems, where the lower level problem is convex. Based on a suitable reformulation of the …

The multi-objective optimal control design usually generates hundreds or thousands of
Pareto optimal solutions. How to assist an user to select an appropriate controller to …