In this paper, adaptive control of a class of nonlinear discrete time dynamical systems with
boundedness of all signals is established by using a linear robust adaptive controller and a …

In this paper, adaptive neural network (NN) control is investigated for a class of nonlinear
pure-feedback discrete-time systems. By using prediction functions of future states, the pure …

In this paper, autonomous control problem of a class of bionic continuum robots named
“Compact Bionic Handling Arm”(CBHA) is addressed. These robots can reproduce …

The past decade has witnessed a great deal of interest in both the theory and practice of
adaptive control using multiple models, switching, and tuning. The general approach was …

In dem vorliegenden Buch Intelligente Verfahren–Systemidentifikation und Regelung
nichtlinearer Systeme soll ausgehend von der linearen Regelungstheorie das weite Gebiet …

In this paper, a multivariable adaptive control approach is proposed for a class of unknown
nonlinear multivariable discrete-time dynamical systems. By introducing a k-difference …

In this paper, a hybrid method is proposed to control a nonlinear dynamic system using
feedforward neural network. This learning procedure uses different learning algorithm …

Minimally invasive surgery involves inserting special instruments into the body cavity
through tiny incisions in order to perform surgical procedures. In this paper, the design of a …

Greenhouses are classified as complex systems, so it is difficult to implement classical
control methods for this kind of process. In our case we have chosen neural network …

An important obstacle in Minimally Invasive Surgery (MIS) is the significant degradation of
haptic feedback (sensation of touch) to the surgeon about surgical instrument's interaction …