Designing nonlinear control systems is still difficult, so many researchers are trying to find some useful ways and methods to solve this problem. As a result of such research, some methods have been seen trying to design a good enough control system for nonlinear plants. But a disadvantage of these methods is the complexity, so it created a need to compare some methods to determine which one is the easiest method to design a control system for nonlinear plants. It was found a way to compare two methods, which is comparing the regions of initial conditions of the systems which are designed using these methods. Two analytical nonlinear control systems design methods are compared on the example of the design control systems mobile robots. The algebraic polynomial-matrix method uses a quasilinear model, and the feedback linearization method uses particular feedback. Both considered methods give a bounded domain of equilibrium attraction, therefore the obtained control systems can be operated only with bounded initial conditions. The numerical example of designing the control systems for one object by these methods and the estimates of the attraction areas of the system’s equilibriums in these systems are given in the paper. As a result of this paper, it was found that using the algebraic polynomial-matrix method will get a bigger section of initial conditions of the plant’s variable than the same section which is given by the feedback linearization method.
