in this paper, an adaptive attitude control algorithm is developed based on neural network for a satellite using four reaction wheels in a tetrahedron configuration. then, an attitude control based on feedback linearization control has been designed and uncertainties in the moment of inertia matrix and disturbances torque have been considered. in order to eliminate the effect of these uncertain...

In this paper, a simplified marginal linearization method in autonomous Lienard systems is proposed. The new method simplified coefficients of each equation, leads to little calculation, and the time and space complexity are reduced. At last, the simulation results show that the simplified marginal linearization method in autonomous Lienard systems is of high approximation precision.

We consider the problem of stabilizing a discrete-time nonlinear system using a feedback which is not necessarily smooth. A sufficient condition for global dynamical stabilizability of single-input triangular systems is given. We obtain conditions expressed in terms of distributions for the nonsmooth feedback triangularization and linearization of discrete-time systems. Relations between stabil...

the food chain refers to a natural system by which energy is transmitted from one organism to another. in fact, a food chain consists of producers, consumers and decomposition. presence of complex food web increase the stability of the ecosystem. classical food chain theory arises from lotka-volterra model. in the present paper, the dynamics behavior of three level food chain is studied. a syst...

ph control is a challenging problem due to its highly nonlinear nature. in this paper the performances of two different adaptive global linearizing controllers (glc) are compared. least squares technique has been used for identifying the titration curve. the first controller is a standard glc based on material balances of each species. for implementation of this controller a nonlinear state est...

In this thesis, I investigate the question of how the units of a linguistic expression are linearly ordered in syntax. In particular, I examine interactions between locality conditions on movement and the mapping between syntax and phonology. I show that Cyclic Linearization of syntactic structure and constraints on domain-internal movement of multiple specifiers predict unique ordering restric...

Statistical linearization has recently seen a particular surge of interest as numerically cheap method for robust control stochastic differential equations. Although it already been successfully applied to complex systems, accessibility and controllability properties statistical linearization, which are key make the problem well-posed, have not investigated yet. In this paper, we bridge gap by ...

We describe a linearization algorithm for μCRL processes, similar to the one described in [21] for a subset of the language called parallel pCRL. This algorithm finds its roots in formal language theory: the ‘grammar’ defining a process is transformed into a variant of Greibach Normal Form. Next, any such form is further reduced to linear form, i.e., to an equation that resembles a right-linear...

We describe a linearization algorithm for parallel pCRL processes similar to the one implemented in the linearizer of the μCRL Toolset. This algorithm finds its roots in formal language theory: the ‘grammar’ defining a process is transformed into a variant of Greibach Normal Form. Next, any such form is further reduced to linear form, i.e., to an equation that resembles a right-linear, data-par...

We identify a restricted class of terms of the lambda calculus, here called weak linear, that includes the linear lambda-terms keeping their good properties of strong normalization, non-duplicating reductions and typability in polynomial time. The advantage of this class over the linear lambda-calculus is the possibility of transforming general terms into weak linear terms with the same normal ...