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A tuning function describes the relative sensitivity of a neuron to variations along a particular stimulus dimension (e.g., orientation, frequency).
Meanwhile, in order to avoid the over-parameters, a tuning function technique is utilized.
Its ith-order subsystem is stabilized with respect to a Lyapunov function (V_{i}) by the design of a stabilizing function (alpha_{i}) and a tuning function (tau_{i}).
The multiplicative factor f θ i (ω t ) in Equation 9 is a tuning function which is maximal when the current direction of the animal movement ω t is along the preferred direction θ i assigned to unit i (Zhang, 1996).
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The key step is the construction of a monotone mapping, via a suitable selection of a controller tuning function, which has to satisfy some integrability conditions this translates into the need to solve a partial differential equation (PDE).
In this study, a building wall with a thermal tuning function is further investigated.
In this paper, a new tuning function backstepping control scheme is proposed for a class of parametric strict feedback nonlinear systems to accommodate actuator failures/faults and dead-zone constraints, where the failures/faults are uncertain in time, pattern, and values, and the dead-zone parameters are not available for feedback control design.
Technically, our scheme is developed from a new piecewise Lyapunov function analysis, the parameter projection and a modified tuning function method.
In this paper, we solve this problem by proposing a new tuning function control scheme which is designed on the basis of a novel decomposition of hysteresis quantizer.
In [29], this problem was addressed by applying a new tuning function under the frame of adaptive control.
A directional tuning function was then generated for each cell by plotting of the firing rate as a function of the rat's directional heading.
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