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The design of a novel adaptive finite-time stable control system for high-order systems with parameter uncertainties is presented. Specified dynamics with recursive structure is employed as the finite-time convergent target system, thus leading to a systematic design process for systems with arbitrary order. Estimators for unknown parameters are constructed using immersion and invariance (I&I)...
The design of a novel composite adaptive control system for a class of uncertain systems using immersion and invariance (I&I) theory is presented. The interest here is to achieve a composite I&I adaptive control in the presence of model parametric uncertainties. Two sources of parameter information are combined for the parameter adaptation, which consists of tracking-error based adaptation...
A novel immersion and invariance (I&I) adaptive control with σ-modification is proposed for flexible air-breathing hypersonic vehicles in the paper. Based on the framework of backstepping, the controller is a combination of I&I adaptive control and σ-modification. The control system can not only deal with the significant aerodynamic parameter uncertainties in AHVs model, but also guarantee...
This study is concerned with the problem of adaptive sliding mode control (SMC) for uncertain stochastic singular systems. A novel integral-type sliding surface function is first introduced based on a particular observer design, which incorporates both the state estimations and the outputs to achieve prescribed specifications. The analysis of mean-square asymptotic admissibility of the underlying...
In this study, an adaptive control method is proposed by combining the tracking controller with neural torque controller for wheeled mobile robots. The kinematics and dynamics control laws are developed, and stability of control system is ensured by standard Lyapunov theory. For the trajectory tracking control of the wheeled mobile robot (WMR), we design an efficient neural network control that can...
Superheater steam temperature in power plant is the strong nonlinearity system. Sparse Least squares support vector networks (LSSVN) are proposed to model the superheated steam of power plant in this paper. The structure is obtained by equality constrained minimization. By combining the DMC with discount recursive partial least squares (DRPLS), a adaptive DMC control method based on discount recursive...
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