This paper seeks to introduce an alternative conceptual taxonomy of civil society as input Austrian law and economics neo-institutional economics. The framework the develops three categories: unstructured, transitional, structured societies. categorization was, in part, inspired by Parsons’ (1966, p. 33) contribution functional sociology: «Society is intelligent structure, rationally integrate ...

In this paper, a new neural network controller for the constrained robot manipulators in task space is presented. The neural network will be used for adaptive compensation of the structured and unstructured uncertainties. The controller consisted of a model-based term and a neural network on-line adaptive compensation term. It is shown that the neural network adaptive compensation is universall...

On the basis of inverse dynamics controller as a nominal control portion, two types of novel robust adaptive inverse dynamics control schemes are proposed for the trajectory tracking control of robot manipulator with uncertain dynamics. They are composed of an adaptive fuzzy control algorithm and a nonlinear H∞ tracking control model. The adaptive fuzzy control algorithm is employed to approxim...

In this correspondence, we introduce a minimax regret criteria to the least squares problems with bounded data uncertainties and solve it using semi-definite programming. We investigate a robust minimax least squares approach that minimizes a worst case difference regret. The regret is defined as the difference between a squared data error and the smallest attainable squared data error of a lea...

Robust control approaches have been extensively developed to control robot manipulators in joint-space. Even though they can present perfect tracking performances in joint-space, they cannot provide satisfactory performances in workspace under imperfect transformation of control space. In addition, many task-space approaches have assumed the perfect transformation, which is not real with presen...

2. INTRODUCTION Although enterprises commonly utilize sophisticated data integration technology and business intelligence tools for analysis of structured data, analysis of unstructured data is a separate process and is often limited to capabilities supported by a search engine. Users have separate and vastly different interfaces for structured and unstructured data: Business Intelligence for s...

Information retrieval through statistical language modeling has become popular thanks to its firm theoretical background and good retrieval performance. One goal of current research on structured information retrieval is thus to extend such models to take advantage of structure information. As a structure may be present on documents or queries or both, we are interested in supporting not only u...

In this paper, an adaptive fuzzy robust output feedback control approach is proposed for a class of single input single output (SISO) strict-feedback nonlinear systems without measurements of states. The nonlinear systems addressed in this paper are assumed to possess unstructured uncertainties, unmodeled dynamics and dynamic disturbances, where the unstructured uncertainties are not linearly p...