Stochastic Adaptive Synchronization for the Two Coupled Memristive Neural Networks via the

Linear Feedback ControlYagasaki [27] considered a pendulum subjected to

linear feedback control with periodic desired motions.

High level of powertrain nonlinearity could be handled using two piecewise linear time-variant models of the automotive drive-line where a slip control technique for the dry clutch engagement process is introduced [14], [15] or by using a fatness based control approach with nonlinear feed-forward combined with a

linear feedback control strategy [16].

After the terminal manifolds set is reached, a

linear feedback control is used to stabilize the system.

and Williamson, D., 1972, "Design of low-order observers for

linear feedback control laws," IEEE Trans.

In the following presentation of

linear feedback control theory, the author discusses basic concepts, time constants, system analysis, and stability.

Linear feedback control; analysis and design with MATLAB.

In order to reach this goal, preset time dependent time-varying but

linear feedback control protocols are presented.

where u(f) = Kx(f) is the

linear feedback control input, [bar.A] = A + K, and the feedback gain matrix K [member of] [R.sup.nxn] needs to be determined.

This iterative linear approximation method makes it convenient to control nonlinear systems via

linear feedback control technique.

The problem is to find the

linear feedback control law u(t) = Kx(t) that minimizes performance index

The hybrid system (1) is said to be stabilizable if there exist a switching signal [sigma]: T [right arrow] S and the associated

linear feedback control law u: [R.sup.n] x T x S [right arrow] [R.sup.m] such that the hybrid system (1) is pth mean exponentially stable for some p > 0.