... system synthesis nonlinear control systems pendulums reduced order systems stability variable structure systems Sliding mode control [( 1 )] has been shown to be a robust and effective nonlinear control approach for dynamical systems. The method divides the stabilization into a two step...

... drives engines nonlinear control systems observers power transmission (mechanical) reduced order systems shafts automatic transmission clutch pressure estimation nonlinear estimation input-to-state stability Clutch-to-clutch shift technique [( 1 )] is used in more and more...

..., the problem of disturbance attenuation for the main system may be related to the problem of disturbance attenuation for the reduced-order system. This is carried out by a new approach in which we use the quasi-steady state of fast variables. Therefore, the problem of existence of a positive definite solution...

... system to a reduced-order system under nonflooding conditions, with i = 0.25   A   cm − 2 , T = 333   K , RH an in = 40 % , λ H 2 = 285 % , and voltage output, the linearized output matrix C is altered, 40 C full = 0.747...

... bond graphs design engineering nonlinear systems reduced order systems The competitive marketplace, as it always has, favors those companies that can bring products to the market first. For industries that produce complex products, engineering time can be a significant portion of the total...

.... Control 0020-7179 , 77 ( 8 ), pp. 748 – 766 . 10.1080/00207170410001713448 23 11 2007 29 05 2008 10 11 2009 10 11 2009 frequency-domain analysis reduced order systems Model reduction of systems with specified frequency domain balanced structure is a reduction...

... method ( 16 ) yields a better approximation and the proposed scheme compares well with the Gugercin and Antoulas’s method ( 17 ). 31 08 2006 05 06 2008 24 09 2008 approximation theory control system analysis control system synthesis reduced order systems The work...

... = [ Z ̇ γ ̇ X γ ̇ Y F Z , net M X M Y ] T or x 2 = [ Z ̇ γ ̇ X γ ̇ Y α 1 α 2 α 3 ] T contains the unmeasured states in Eqs. 11 , 21 , respectively. The subscript R refers to the reduced-order system...

... approximation theory closed loop systems eigenvalues and eigenfunctions nonlinear systems observers piecewise linear techniques reduced order systems stability The design of state observers is an essential step toward the synthesis of high-performance state controllers for flexible link...

... and eigenfunctions finite difference methods finite element analysis reduced order systems secondary cells state-space methods transfer functions model order reduction residue grouping diffusion system identification Karhunen–Loève transform In the model-based control of complex or large...

... 2007 micromechanical resonators reduced order systems finite element analysis electrostatics oscillators Advances in microelectromechanical systems (MEMS) have created opportunities for radically new applications with high potential for significant economic and societal impact...

... ∕ 3 − 1 ) [ 1 + ( d i L ) 2 ∕ 3 ] 21 06 2005 24 05 2006 boilers power generation control nonlinear control systems reduced order systems implicit quasi-steady state model reduction stiff systems singular perturbation power plant...

... control Markov processes reduced order systems vehicle dynamics dynamic programming infinite horizon state feedback fuel cell hybrid vehicle power management strategy stochastic optimal control The reduced-order dynamic model of the fuel cell system can be further simplified...

... order systems Markov processes matrix algebra In many engineering problems, it is often desirable to approximate a high-order system by a low-order model since it facilitates simulation and implementation of the system. In the last three decades, considerable efforts have been made in the area...

..., MEASUREMENT, AND CONTROL . Manuscript received by the ASME Dynamic Systems and Control Division July 16, 2003; final revision, January 6, 2004. Review conducted by: H. Sardar. 16 July 2003 06 January 2004 11 03 2005 nonlinear control systems reduced order systems predictive control...

... linear quadratic Gaussian control singularly perturbed systems singular optimal control continuous time systems Kalman filters reduced order systems Riccati equations discrete time systems flexible manipulators Singular perturbation theory and control techniques to solve the singularly...

... piezoelectric actuators low-pass filters dielectric hysteresis reduced order systems discrete time systems closed loop systems recursive estimation least squares approximations Lyapunov methods three-term control sensitivity analysis stability displacement control Multilayer LVPZT Blender...

.... In consequence, the method can be executed for any linear single-input single-output plant without knowing or estimating its order at the beginning. The effectiveness of the method is illustrated by numerical simulations and also by applying it to a two-mass system. identification reduced order systems...

... . 09 07 2004 17 01 2005 reduced order systems time-varying systems delays linear matrix inequalities The study of H ∞ model reduction has received considerable attention since the late 1980s due to the theoretical and practical importance of the H ∞ norm...

... towards it is maximized. The problem is formulated as an optimization problem with LMI constraints. Finally, an example is included to illustrate the results developed in this brief. adaptive control variable structure systems delays reduced order systems linear matrix inequalities optimisation...