A novel adaptive control approach is proposed to solve the globally asymptotic state stabilization problem for uncertain purefeedback nonlinear systems in the pseudo-affine form. The pure-feedback nonlinear system under consideration is with nonlinearly parameterised uncertainties and possibly unknown control coefficients. Based on the parameter separation technique, a backstepping controller i...

We introduce the concept of an affine flat input to a nonlinear system with a given output function. This approach can be seen as dual to the search for a flat output of a control system with given input. Our results provide a necessary and sufficient condition for the existence of a flat input in the SISO case, which also allows to construct the vector field associated to the flat input. In ad...

Blur in images can be removed by solving a series of box-constrained least-squares problems. In this paper, we compare two recent approaches for solving these problems using affine-scaling methods. Both approaches aim at solving a nonlinear system arising from the Karush-Kuhn-Tucker condition. One approach is to identify the active set and update the inactive components of the iterates by using...

This paper proposes a new method to design a decentralized fuzzy adaptive controller (FAC) for a class of large-scale nonaffine nonlinear systems in which functions of the systems and interactions are unknown. Comparing to previous paper which mainly concentrates on affine large-scale system (LSS), the proposed method is on nonaffine nonlinear LSS. The stability of the closedloop system is guar...

this paper presents a new observer-based control scheme for a class of nonlinear systems. in the proposed method, nonlinear observer and twisting algorithm controller are employed to realize a sensor-less control strategy for complex systems which makes use of non measurable process information instead of installing as many sensors as possible. due to lack of availability of the complex system ...

This paper studies the problem of event-triggered control nonaffine stochastic nonlinear systems with actuator hysteresis. The echo state network (ESN) is introduced to approximate an unknown function. command filtering technology used avoid derivation virtual controller in design process and tries solve complexity explosion traditional method. Based on Lyapunov’s finite-time stability theory, ...

Abstract: The paper deals with design and realization problems of collision avoidance systems (CAS) of cars (ground vehicles). CAS emergency path design is based on the principle of elastic band with improved reaction forces for road borders and static obstacles allowing quick computation of the force equilibrium. The CAS path (reference signal) is smoothed and realized using receding horizon c...

We have studied the problem of static competitive routing to parallel queues with polynomial link holding costs. We have established the uniqueness of the NE for a general topology with the BPR cost [22] and have obtained a simple relationship with the globally optimal solution. We have further obtained some explicit results for the special case of affine link costs. The results of this note sh...

A new criterion for nonregular static state feedback linearization is presented for a class of affine nonlinear control systems. This criterion is applied to several classes of nonholonomic systems and discontinuous stabilizing control design is outlined based on linear system theory and the backstepping techniques.

The present paper will impose a driving strategy for a particular nonlinear system, for example for a robot consists of a single segment, which has a flexible hinge. Transmission is more accurate, with a line size of the input provided by engine torque. Because of the robot arm speed can not be measured accurately one estimate the desired state through an Observer system. System that is intende...