We study the sensitivity of a recently developed nonlinear control scheme with respect to variations in the parameters of the active suspension. Based on comparative simulation results, we conclude that the parameters of the hydraulic actuator dynamics are the ones to which closed-loop system performance is most sensitive. In fact, it is enough to estimate only one parameter in order to guarant...

A mathematical model of a 4-wheel skid-steering mobile robot is presented in a systematic way. The robot is considered as a subsystem consisting of kinematic, dynamic and drive levels. Next, a designing process of a kinematic controller based on the algorithm introduced by (Dixon et al., 2001) is shown. An extension of the kinematic control law at the dynamic and motor levels using the Lyapunov...

In this thesis, Some adaptive neural control design ways are presented for a class of multi-input multi-output (MIMO) nonlinear systems in block-triangular form with disturbance input and state time-varying delay. Neural networks are employed to approximate the unknown continuous functions. By combining the use of a novel quadratictype Lyapunov-Krasovskii functionals and adaptive NN backsteppin...

An extensive research activity have been devoted to the problem of induction motor control over the last decade. Most of the proposed controllers have been designed under the assumption that the motor is unsaturated. As this is not the case in realistic situations the expected performances, especially during transient periods, may not be achieved. In this paper, an adequate model that rigorousl...

A novel robust adaptive controller is presented for a wide class of strict feedback uncertain nonlinear system with unknown virtual control coefficients under bounded exogenous disturbances. Combined Nussbaum gain with the backstepping technique, the proposed design algorithm, which does not require a priori knowledge of the signs of the unknown virtual control coefficients, is proved to be abl...

AbstractThis paper considered the problem of stabilization of longitudinal and lateral dynamics of an unmanned autonomous helicopter (UAH) for hovering flight mode in a gusty environment. The controllers design is based on generic linear model which successfully describe the behavior of most smallscale helicopters. A backstepping design procedure is used to design the adaptive controller for lo...

This paper describes a glidepath command generator for indirect altitude control and presents an auto-landing controller for glide-slope tracking and flare maneuver via adaptive backstepping, in order to provide precise altitude trajectories for auto-landing of unmanned aerial vehicles. The proposed glideslope tracking and flare maneuver control law is quite different from conventional guidance...

In this paper, a hybrid integrator backstepping controller is proposed for robotic manipulators actuated with brushless dc motors in the presence of arbitrary uncertain inertia parameters of the manipulator and the electrical parameters of the actuators. The main features are: 1) the design, requiring at most the joint velocities and stator currents feedback, 2) the semiglobal asymptotic stabil...

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...

This paper investigates robust adaptive switching controller design for Markovian jump nonlinear systems with unmodeled dynamics and Wiener noise. The concerned system is of strict-feedback form, and the statistics information of noise is unknown due to practical limitation. With the ordinary input-to-state stability ISS extended to jump case, stochastic Lyapunov stability criterion is proposed...