In this article proposes methods for synthesizing control algorithms to solve the problem of tracking the course of a surface vessel. The problem of maintaining the vessel's course was solved using various algorithms. The proposed algorithms can be used in the future to solve dynamic positioning problems and route control problem.

In this paper, an experimental study of robust trajectory control algorithms under incomplete information about the parameters and state variables of a nonlinear motion model of a mobile robot is carried out. In this study, we have synthesized and tested on a real holonomic mobile robot a set trajectory control algorithm with measured adjustable variables, set trajectory control algorithm in the absence of measurements of adjustable variables and measured robot coordinates. In addition, an algorithm for controlling the motion of a mobile robot along a given trajectory in the absence of measurements of adjustable variables and robot coordinates was tested.

This paper presents the design and analysis of an omnidirectional reconfigurable wheeled robot capable of switching between omnidirectional and conventional wheeled mode. We have developed a new pneumatic locking mechanism of rollers for the mecanum wheel. In the mecanum mode, the robot can perform holonomic movements, and in the wheeled platform mode, it can overcome inclined surfaces and perform more energy-efficient movements. In addition, the locking device allows the robot to brake faster compared to other mecanum robots. Unlike other works describing the reconfigurable structure of the mecanum wheel, this work offers a new design characterized by the simplicity of the mechanism and does not require the location of active reconfiguration elements inside the wheel itself. The paper describes the design concept and presents the mechanism for locking rollers. The study evaluates the use of the developed robot in various scenarios, including movement on an inclined surface, sudden braking on a plane and an inclined surface, and also analyzes the energy efficiency of the resulting solution for some operating scenarios. The experiments carried out confirm that this mobile platform, when switching mode, is able to move on surfaces with a large angle of inclination and perform more effective deceleration on both flat and inclined surfaces.

In this paper experimental research on the output control problem of a surface vessel with parametric uncertainties and external disturbances is shown. We propose application of the robust control framework based on the extended observer design with subsequent augmenting with the internal model to reject external disturbances affected the robotic boat in laboratory basin. Dynamic Positioning (DP) mode includes task of a station-keeping which can can be effectively solved with proposed algorithm.

In this article dynamically positioned surface vessel model is considered. To achieve precise performance of the vessel with unknown parameters two control problem was solved. First one is online parametric identification. The estimation of unknown parameters of the surface vessel model is obtained by methods, which are gradient descent method, extended Kalman filter and dynamic regressor extension and mixing (DREM). Second problem is the design of the adaptive control based on the collected results from estimators. For this purposes inverse dynamics control is considered. The convergence of the system is shown in the modeling section. DREM estimation method showed best results.