A new efficient algorithm for solving the linear separable problem of the synthesis of a communication network called the generalized method of potentials is considered and justified. It is a generalization of the known method of potentials for solving the standard transportation problem. The finiteness of the proposed algorithm is proved.
A set of interrelated methods is presented for analyzing multicriteria decision-making problems on the basis of an information on the criteria importance and change of the preferences along their scales. Computer systems of decision-making support, implementing these methods within the methodology of progressive adequate modeling of preferences are briefly described. The paper is based on two presentations at the International Conference on Operations Research in Moscow (ORM-2007).
Linear stationary discrete-time descriptor systems with input sequences of random Gaussian nonzero-mean vectors with bounded mean anisotropy are under consideration. Conditions of anisotropic norm boundedness for such systems are given in terms of generalized discrete-time algebraic Riccati equations (GDARE) and linear matrix inequalities (LMI). On basis of these results, the algorithm of anisotropic norm computation using convex optimization techniques is developed. Numerical examples illustrate methods of anisotropic norm computation.
Procedures for forming an element of an actor's world model (sign) introduced in the first part of this study are considered. The process of forming the pair image--sign significance taking into account the modern understanding of the human brain cortex operation is investigated. An algorithm for synthesizing a behavior plan is constructed, and a novel architecture of intelligent agents that are able, among other things, to distribute roles in coalitions is proposed.
Functions that are referred in psychology as functions of consciousness are considered. These functions include reflection, consciousness of activity motivation, goal setting, synthesis of goal oriented behavior, and some others. The description is based on the concept of sign, which is widely used in psychology and, in particular, in the cultural–historical theory by Vygotsky, in which sign is interpreted informally. In this paper, we elaborate upon the concept of sign, consider mechanisms of sign formation, and some self?organization on the set of signs. Due to the work of self?organization mechanisms, a new method for the representation of the world model of an actor appears. The concept of semiotic network is introduced that is used for the examination of the actor’s world models. Models of some functions indicated above are constructed. The second part of the paper is devoted to func? tions of self?consciousness and to the application of the constructed models for designing plans and constructing new architectures of intelligent agents that are able, in particular, to distribute roles in coalitions.
This article is about behavior control as a functioness.
An approach to the construction of a stabilizing feedback for linear time variant systems is considered. This approach is based on a heuristic isolation of two simplified subsystems of lower dimension. For these subsystems, stabilizing regulators are constructed and then combined into a composite regulator. This paper generalizes the results obtained earlier, which can lead to a significant expansion of the scope of composite control. This is illustrated by a number of examples.
A class of systems, described by algebraic-difference equations, is under consideration. Such systems are called descriptor (singular). For these systems the conditions of anisotropic norm boundedness are obtained. Anisotropic norm describes the root mean square gain of the system with respect to random Gaussian stationary disturbances, which are characterized by mean anisotropy. The conditions are formulated in the form of the theorem, detailed proof is given. Numerical example, illustrating anisotropic norm computation method for descriptor systems based of the proven theorem, is considered.
Abstract—An approach to the control of robots behavior based on the emotion and temperament mechanism is proposed. It is shown that these psychological features can be simulated fairly simply. The proposed emotionnbased architecture of the robot control system leans upon the Simonov informational theory of emotions, while the specific features of temperament are reduced to a twooparammeter model of the excitation–inhibition type. Experiments performed with mobile robots are described. These experiments demonstrate a set of various types of robots' behavior: melancholic, chooleric, sanguine, and phlegmatic. All these types were implemented using the soocalled temperament controller, which determines a balance between the excitation and inhibition parameters of the robot control system. An FSMMbased model of temperament is also proposed that makes it possible to describe the behavior of an individual. Using this model, it is shown that, for performing certain colllective behavior tasks, it is useful to have in the group individuals with different behavior so that this behavior also depends on the individual emotions and temperament of robots.
In this paper formulations of the synthesis and analysis problems in multiterminal comunication networks with variable edge capacities are considered.
The problem of the exact bounded control of transverse vibrations of a thin plate is considered. Control actions are applied to the boundary of the plate, which fills a certain bounded domain on the plane. The purpose of the control is to completely stop oscillations in a finite time period.
Quite many engineering problems, problems from ecology, medicine, and social sciences are characterized by the presence of factors bringing uncertainty into the corresponding control systems. Additional difficulties for control action construction arise in the case when the objects are described by nonlinear highorder evolutionary equations. An important subset of these objects consists of the object with interval parametric uncertainty with a given control objective and with a given a given termination time of the transient process. For this objects, one of the possible ways of control action synthesis is the application of the guaranteed control concept. We propose the method of control synthesis for one class of nonlinear uncertain objects with using their robust models having linear structure and the parameters, depending on their state.