Analysis and design of gain scheduled sampled-data control systems

Fuzzy goal-driven intelligent control for satellite environmental qualification

“…The problem is, then, to control a nonlinear system given in the form: where f : R n × R m → R n is a nonlinear mapping, g : R n → R l is the (output) measured mapping, x is the state vector, u is the control input vector, Â is the vector of scheduling variables, and y ∈ R l is the output vector. This class of problem is related to gain-scheduling controllers [15][16][17][18][19][20][21][22] and used according to the information about the process dynamics (Fig. 8).…”

Application of gain scheduling for modeling the nonlinear dynamic characteristics of NO x emissions from utility boilers

“…Hard switch directly chooses the local model whose operating condition is the most similar to the current operating condition, but this will lead to strong fluctuation of output. Soft switch is actually an application of interpolation method, which can be used for interpolating either the output values or the parameters of the models [13,[18][19][20]. As soft switch offers smoother transitions for the output predictions, it is widely implemented.…”

“…Then step responses for seven MVs are carried out in each load. Based on the responding curves, all the transfer functions can be approximately given by (19) In this paper, all the parameters are identified by least square method.…”

“…Using forward difference instead of differential in (19), difference form is given by (20) where, n d =T d /T s , T s denotes the sample interval, which is 5 seconds. Taking the example of primary air pressure, the step-response curve and fitting curve are displayed in Fig.…”

Sampled-data filter design for linear parameter varying systems

“…Authors in [8], [9] used the idea of lifting technique and applied it to the LPV systems, where they solved energy-to-energy and energyto-peak gain problems to design state feedback and output feedback controllers. There have also been additional efforts on sampled data control design for LPV systems, e.g., [4], [6]. The problem of sampled data filtering for continuoustime linear time-invariant systems has attracted considerable interest [7] and is more challenging for LPV systems.…”