Thesis (Ph. D.)--Lehigh University, 2006. / Includes vita. Includes bibliographical references (leaves 173-191).

This work presents a control algorithm developed from the mammalian emotional processing network. Emotions are processed by the limbic system in the mammalian brain. This system consists of several components that carry out different tasks. The system level understanding of the limbic system has been previously captured in a discrete event computational model. This computational model was modified suitably to be used as a feedback mechanism to regulate the output of a continuous-time first order plant. An extension to a class of nonlinear plants is also discussed. The combined system of the modified model and the linear plant are represented as a set of bilinear differential equations valid in a half space of the 3-dimensional real space. The bounding plane of this half space is the zero level of the square of the plant output. This system of equations possesses a continuous set of equilibrium points which lies on the bounding plane of the half space. The occurrence of a connected equilibrium set is uncommon in control engineering, and to prove stability for such cases one needs an extended Lyapunov-like theorem, namely LaSalle's Invariance Principle. In the process of using this Principle, it is shown that this set of equations possesses a first integral as well. A first integral is identified using the compatibility method, and this first integral is utilized to prove asymptotic stability for a region of the connect equilibrium set.

Diverse complex phenomena that are found in many fundamental problems of atomic physics and chemistry can be understood in the framework of nonlinear theory. Most of simple atomic and chemical systems are classically described by the Hamiltonian models of dimension three and higher. The multidimensional nature of these problems makes widely used diagnostics of dynamics to be impractical. We demonstrate the application of rigorous and effective computational methods to treat multidimensional systems in strongly perturbative regimes. The results of a qualitative analysis of the phase space stability structures are presented for two multidimensional non--integrable Hamiltonian systems: highly excited planar carbonyl sulfide molecule and hydrogen atom in elliptically polarized microwave fields. The molecular system of the planar carbonyl sulfide and atomic system of hydrogen in elliptically polarized microwave fields are treated for different regimes of energies including regimes of classical ionization of hydrogen and dissociation of carbonyl sulfide molecule.

This work presents a control algorithm developed from the mammalian emotional processing network. Emotions are processed by the limbic system in the mammalian brain. This system consists of several components that carry out different tasks. The system level understanding of the limbic system has been previously captured in a discrete event computational model. This computational model was modified suitably to be used as a feedback mechanism to regulate the output of a continuous-time first order plant. An extension to a class of nonlinear plants is also discussed. The combined system of the modified model and the linear plant are represented as a set of bilinear differential equations valid in a half space of the 3-dimensional real space. The bounding plane of this half space is the zero level of the square of the plant output. This system of equations possesses a continuous set of equilibrium points which lies on the bounding plane of the half space. The occurrence of a connected equilibrium set is uncommon in control engineering, and to prove stability for such cases one needs an extended Lyapunov-like theorem, namely LaSalle's Invariance Principle. In the process of using this Principle, it is shown that this set of equations possesses a first integral as well. A first integral is identified using the compatibility method, and this first integral is utilized to prove asymptotic stability for a region of the connect equilibrium set.

Thesis (M.S.)--U.S. Naval Postgraduate School. / "AD-769 745." eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

The objective of the proposed research is 1) to develop a general dynamic condition sufficient to ensure frequency synchronization of inverter-based AC power networks, and 2) to develop a distributed control regime that is capable of guaranteeing that the above condition holds for a scalable class of such networks. I will first develop a structure-preserving model of an arbitrary network whose sources are all inverters operating frequency-droop control. By applying graph theoretic methods to the model, I will show that there exists a “safe operating region” of the state space such that if the network angle trajectory stays in this region, then frequency synchronization is shown by Lyapunov-like methods. By analogy to similar problems solved in other applications, I will develop a new distributed control regime to constrain a network of the target class to the safe operating region, thus guaranteeing frequency synchronization. These techniques may form the basis for future development of ultra-reliable, scalable inverter-based networks.

Systems-of-Systems are epitomised by features such as the prevalence of complex webs of mutual interdependency amongst their component systems, the involvement of a broad diversity of stakeholders and the participation of a number of independent decision-makers, each of whom competes with the others for strictly limited resources. The components of Systems-of-Systems may often be found to be widely scattered across an extensive geographical region and span global distances. These are becoming more prevalent in an increasingly interconnected world engendered by the proliferation of modern information and communication technology. / Thesis (MEng(ElectronicsEngineering))--University of South Australia, 2006.

Thesis (MEng in Electronic engineering)--University of South Australia, 1996

Thesis--Auburn University, 2009. / Abstract. Vita. Includes bibliographical references (p. 67-69).

Project report (M.S.)--Virginia Polytechnic Institute and State University. M.S. 1992. / Abstract. Includes bibliographical references (leaves 101-106). Also available via the Internet.