in this research, an innovative numerical simulating approach for time domain analysis of multi degrees of freedom structures with uncertainty in dynamic properties is presented. a full scale finite element model of multi-story and multi bays of three sample structures has been constructed. the reduced order model of structure with holding the dominant and effective gramians in the balanced sta...

the research analyzed the land tenure system among rice farmers in awe local government area of nasarawa state, nigeria. two hundred and forty (240) farmers were sampled by a multi stage sampling procedure and used as respondents for the study. well-structured questionnaires were used for data collection. the main means of data analysis were percentages and correlation. findings revealed that 4...

In this paper we study multi-agent discrete-event systems where the agents can be divided into several groups, and within each group the agents have similar or identical state transition structures. We employ a relabeling map to generate a “template structure” for each group, and synthesize a scalable supervisor whose state size is independent of the number of agents. This scalability allows th...

This paper presents a planner that can solve the k-robust MAPF planner which is based on the Conflict-based search (CBS) (Sharon et al. 2015) MAPF solver. CBS does not explicitly search the n-agent state space. Instead, agents are associated with constraints of the form 〈ai, v, t〉, which would prohibit agent ai from occupying vertex v at time step t. A consistent path for agent ai is a path tha...

We present a novel approach to self-organisation of coordinated behaviour among multiple resource-sharing agents. We consider a hierarchical multi-agent system comprising multiple energy-dependent agents split into local neighbourhoods, each with a dedicated controller, and a centralised coordinator dealing only with the controllers. The coordinated behaviour is required in order to achieve a b...

this paper introduces an indirect adaptive fuzzy sliding mode controller as a power system stabilizer for damping local and inter-area modes of oscillations of multi-machine power systems. this controller is designed based on the combination of sliding mode controller and the fuzzy logic systems. the fuzzy systems are used to approximate the unknown functions of power system model. generator sp...

this paper presents the steady state behavior and maintenance planning of the bleaching system in a paper plant. the paper plant comprises of various systems including feeding, chipping, digesting, washing, bleaching, screening, stock preparation and paper making, etc. one of the most important functionaries of a paper plant, on which quality of paper depends, is the bleaching system, where rem...

Reinforcement Learning (RL) allows an agent to discover a suitable policy to achieve a goal. However, interesting problems for RL become complex extremely fast, as a function of the number of features that compose the state space. The proposed research is to decompose a core problem into tasks with only the features required to solve the task. The core agent then uses the reward for the task, w...