Controllability and observability in infinite dimensional systems

Arala, Halil Semih


Controllability and observability properties of two dimensional state space models.
Çiftçibaşı, Turhan; Yüksel, Önder; Department of Electrical and Electronics Engineering (1981)
Controllability of two-point nonlinear boundary-value problems by the numerical-analytic method
Akhmet, Marat (2004-04-15)
By employing a numerical-analytic method, we establish sufficient conditions for the controllability of systems (dy) under bar /dt = A (t)y + B (t) it + g (t) + f (t,y,z,u)
Control Strategies for Grid Connected PWM-VSI Systems
Kantar, Emre; Usluer, S. Nadir; Hava, Ahmet Masum (2013-11-30)
This paper evaluates the current control methods for three-phase voltage-source-inverters (VSIs) connected to the grid via LCL-filters. Current feedback methods from both line and converter sides are compared and theoretical analysis is stated. The analysis is based on the existence of a critical resonant frequency dividing the controlling frequency interval into two regions; namely low and high resonant frequency regions. The feedback types and damping methods are evaluated for both low and high resonant f...
Stochastic differential games for optimal investment problems in a Markov regime-switching jump-diffusion market
Savku, E.; Weber, Gerhard Wilhelm (Springer Science and Business Media LLC, 2020-08-01)
We apply dynamic programming principle to discuss two optimal investment problems by using zero-sum and nonzero-sum stochastic game approaches in a continuous-time Markov regime-switching environment within the frame work of behavioral finance. We represent different states of an economy and, consequently, investors' floating levels of psychological reactions by aD-state Markov chain. The first application is a zero-sum game between an investor and the market, and the second one formulates a nonzero-sum sto...
Stochastic modeling in computational electromagnetics by coordinate transformations
Özgün, Özlem; Kuzuoğlu, Mustafa (null; 2015-09-04)
Computational Electromagnetics (CEM) involves the process of modeling the interaction of electromagnetic fields with physical objects and environment through numerical solutions of Maxwell’s equations. The study of such interactions is crucial in the analysis and design of electromagnetic systems or devices. For example, in electromagnetic compatibility (EMC) applications, it is essential to characterize the immunity of devices to parasitic or intentional ele...
Citation Formats
H. S. Arala, “Controllability and observability in infinite dimensional systems,” Middle East Technical University, 1993.