Repair-Control of Enterprise Systems Using RFID Sensory Data
This paper provides a framework for implementing real-time enterprise planning, scheduling
and control processes based on information provided by RFID sensing systems.
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The Declarative Approach to Design of Robust Control Systems
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Declarative Multiplexed Rational Controlers
Discussion of an architecture for the design and implementation of a class of feedback knowledge based automnomous control systems in which the central operational element, the Inferencer, is an on-line mechanical theorem prover...
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Distributed Intelligent control Theory of Hybrid Systems
Recent advances in multiple-agent, distributed control of interactive processes...
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Declarative Hierarchical Controllers
This paper presents a new general purpose feedback controller for driving a
system through complex tasks. The proposed controller, termed Declarative
Hierarchical Controller, is based on a theory of knowledge-based controllers
developed by the author.
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Hierarchical Control Systems for Autonomous Space Robots
This paper presents a design procedure for hierarchical
robot controllers which are representable by a
class of automata known as locally finite topological
automata.
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A Declarative Theory for Rational Controllers
The theory, which is expressed in terms of first-order predicate logic with some meta-extensions, characterizes the dynamic behavior of an element of the class using equations and inequations that declare the structure of the controller in an algebraic variety V whose algebras
satisfy the Central Factorization Principle.
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We provide an outline of a design procedure of a Multiple Agent Hybrid Control Architecture (MAHCA) network for the deployment of a reactive, agent based planner for a single product multi-echelon inventory system.
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This paper provides a step-by step description of a design procedure of a MAHCA
network for the deployment of a reactive, agent based planner for a single product,
multi-echelon inventory system.
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This is the second of two papers in which we describe a hybrid systems approach to supply chain management problems.
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This paper describes a distributed dynamic model of enterprise systems via a network
of elements which are abstractions of biological membranes.
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This paper addresses the issue of the optimal
ow allocation in general
supply chains. Our basic observation is that a distribution channel involving several
reselling steps for a particular product can be viewed as a route in a supply chain net-
work.
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This is one of a series of papers outlining the theorems and algorithms
needed for MAHCA, our multiple agent hybrid control architecture.
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Hybrid Systems are models for networks of digital and
continuous devices in which digital control programs sense
and supervise continuous and discrete systems governed by
differential or difference equations.
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In this article we provide a tutorial-style overview of ideas for a new Computer-
Aided Control Engineering (CACE) environment. We discuss these ideas through
repetition of two themes.
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In this paper we outline the derivation of a hybrid Hamilton-Jacobi-
Bellman equation for our Multiple Agent Hybrid Control Architecture
(MACHA) [5, 4] and a hybrid system dynamic programming methodology.
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Optimization algorithms usually rely on the setting of parameters, such as barrier coefficients. We have developed a generic meta-control procedure to optimize the behavior of given iterative optimization algorithms.
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In this note we analize a perturbation-based optimization algorithm for
the implementation of real time incremental repair feedback systems.
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This paper addresses the issue of the optimal
ow allocation in general
supply chains. Our basic observation is that a distribution channel involving several
reselling steps for a particular product can be viewed as a route in a supply chain net-
work.
Download the whitepaper here
This paper provides a framework for implementing real-time enterprise planning, scheduling
and control processes based on information provided by RFID sensing systems.
Download the whitepaper here
This paper provides a framework for implementing real-time enterprise planning, scheduling
and control processes based on information provided by RFID sensing systems.
Download the whitepaper here
In this article we provide a tutorial-style overview of ideas for a new Computer-
Aided Control Engineering (CACE) environment.
Download the whitepaper here
In this article we provide a tutorial-style overview of ideas for a new Computer-
Aided Control Engineering (CACE) environment.
Download the whitepaper here
We address the problem of finding an unbiased estimate of the plant
state given that the data available is dynamic, noisy, and given in a multiplicity
of representations.
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For many military and civilian large-scale, real-world problems of interest,
data is first acquired asynchronously, i.e., at irregular intervals of time,
at geographically-dispersed sites, processed utilizing decision-making algorithms,
and the processed data then disseminated to other appropriate
sites.
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We discuss a fundamental problem in the provision of
quality care at acceptable, society-wide costs: the integration
of what is now a dichotomy in medical models.
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We discuss a fundamental problem in the provision of
quality care at acceptable, society-wide costs: the integration
of what is now a dichotomy in medical models.
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Today, the dominant modeling concepts for medical
information systems are based on a) “homeostasis”
and b) “physical dynamics” — such as those encountered
in pharmacology, quantitative pathophysiology,
and more recently in immunology.
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Realization of the vision of a synthetic
theater of war (STOW) fully depends on the creation
of interoperable simulators, simulations, and fielded
systems that realistically represent warfighling
concepts, doctrine, forces and weapon systems of
friendly, neutral and opposing forces.
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A network of distributed interactive simulations is a hybrid system, that is, a
system described by an amalgamation of logical and evolution models.
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We outline a new methodology for generating economic plans and budgets for design projects.
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This report presents the first phase of a study for implementing autonomous
distributed control for the battlefield problem.
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We provide an outline of a design procedure of a Multiple Agent Hybrid Control Architecture (MAHCA) network for the deployment of a reactive, agent based planner for a single product multi-echelon inventory system.
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This paper provides a constructive procedure for the implementation
of a multiechelon single-product optimal, reactive distributed inventory planner.
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This is the second of two papers in which we describe a hybrid systems approach to supply chain management problems.
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This paper describes an estimation procedure based on a two-stage schema.
The procedure is suitably customized for problems in the areas of enterprise
dynamics and of the supply chain management.
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This paper presents an architecture for the real-time feedback control of hybrid
systems through a communication network composed of multiple decision makers
herein referred to as agents.
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