A modified entropy-based performance criterion for class-modelling with multiple classes

The book; under review provides a valuable account of the issues and factors in managing the irrigation system, and presents a lucid and thorough discussion on the performance of the irrigation bureaucracies. It comprises two parts: the first outlines the factors affecting irrigation performance under a wide range of topics in the first five chapters. In Chapter One, the authors have attempted to assess the performance of the irrigation bureaucracies, conceptualise irrigation management issues, and build an empirical base for analysis while drawing upon the experience of ten country cases in Asia, Africa, and Latin America. The Second Chapter focuses on the variations in the management structures identified and the types of irrigation systems; and it defines the variables of the management structures. The activities and objectives of irrigation management are discussed in Chapter Three. The objectives include: greater production and productivity of irrigation projects; improved water distribution; reduction in conflicts; greater resource mobilisation and a sustained system performance. The authors also highlight the performance criterion in this chapter. They identify about six contextual factors which affect the objectives and the performance of irrigation, which are discussed in detail in Chapter Four. In Chapter Five, some organisational variables, which would lead to improvements in irrigation, are examined.

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A multi-step Lagrangian scheme for spatially inhomogeneous evolutionary games

Journal of Evolution Equations ◽

10.1007/s00028-021-00702-5 ◽

2021 ◽

Author(s):

Stefano Almi ◽

Marco Morandotti ◽

Francesco Solombrino

Keyword(s):

Mean Field ◽

Evolutionary Games ◽

Type Systems ◽

Convergence Result ◽

Performance Criterion ◽

Mean Field Limit ◽

Spatially Inhomogeneous ◽

Convergence Results ◽

Special Cases ◽

Lagrangian Scheme

AbstractA multi-step Lagrangian scheme at discrete times is proposed for the approximation of a nonlinear continuity equation arising as a mean-field limit of spatially inhomogeneous evolutionary games, describing the evolution of a system of spatially distributed agents with strategies, or labels, whose payoff depends also on the current position of the agents. The scheme is Lagrangian, as it traces the evolution of position and labels along characteristics, and is a multi-step scheme, as it develops on the following two stages: First, the distribution of strategies or labels is updated according to a best performance criterion, and then, this is used by the agents to evolve their position. A general convergence result is provided in the space of probability measures. In the special cases of replicator-type systems and reversible Markov chains, variants of the scheme, where the explicit step in the evolution of the labels is replaced by an implicit one, are also considered and convergence results are provided.

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An Expert Controller Based on Transient Response Patterns

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.219-220.3 ◽

2011 ◽

Vol 219-220 ◽

pp. 3-7

Author(s):

Ning Zhang ◽

Rong Hua Liu

Keyword(s):

Control System ◽

Transient Response ◽

Closed Loop ◽

Performance Criterion ◽

Response Patterns ◽

Loop Control ◽

Expert Control ◽

Closed Loop Control System ◽

Loop Control System ◽

Control Decision

An expert control system based on transient response patterns and expert system techniques is proposed in this paper. Depending on the features of the closed-loop control system determines the control decision and adjusts the parameters of the controller. The proposed method requires minimal proper information about the controlled plant and, with the linear re-excitation learning method, the system is kept satisfying the performance criterion.

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The Decision Making Trial and Evaluation Laboratory (Dematel) and Analytic Network Process (ANP) for Safety Management System Evaluation Performance

E3S Web of Conferences ◽

10.1051/e3sconf/20183112006 ◽

2018 ◽

Vol 31 ◽

pp. 12006 ◽

Cited By ~ 2

Author(s):

Lisa Rolita ◽

Bayu Surarso ◽

Rahmat Gernowo

Keyword(s):

Decision Making ◽

Management System ◽

Evaluation System ◽

Safety Management ◽

Analytic Network Process ◽

Performance Criterion ◽

Questionnaire Data ◽

Safety Management System ◽

International Airport ◽

Network Process

In order to improve airport safety management system (SMS) performance, an evaluation system is required to improve on current shortcomings and maximize safety. This study suggests the integration of the DEMATEL and ANP methods in decision making processes by analyzing causal relations between the relevant criteria and taking effective analysis-based decision. The DEMATEL method builds on the ANP method in identifying the interdependencies between criteria. The input data consists of questionnaire data obtained online and then stored in an online database. Furthermore, the questionnaire data is processed using DEMATEL and ANP methods to obtain the results of determining the relationship between criteria and criteria that need to be evaluated. The study cases on this evaluation system were Adi Sutjipto International Airport, Yogyakarta (JOG); Ahmad Yani International Airport, Semarang (SRG); and Adi Sumarmo International Airport, Surakarta (SOC). The integration grades SMS performance criterion weights in a descending order as follow: safety and destination policy, safety risk management, healthcare, and safety awareness. Sturges' formula classified the results into nine grades. JOG and SMG airports were in grade 8, while SOG airport was in grade 7.

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A performance criterion for glass heat treatment

Glass and Ceramics ◽

10.1007/bf00676764 ◽

1991 ◽

Vol 48 (5) ◽

pp. 201-204

Author(s):

G. M. Legoshin

Keyword(s):

Heat Treatment ◽

Performance Criterion ◽

Glass Heat ◽

A Performance

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Vibration Control Using Combined Independent Modal Space Control and Fuzzy Logic

Volume 3C: 15th Biennial Conference on Mechanical Vibration and Noise — Vibration Control, Analysis, and Identification ◽

10.1115/detc1995-0609 ◽

1995 ◽

Author(s):

Mehran Asdigha ◽

Robert Greif

Keyword(s):

Physical Space ◽

Fuzzy Rule ◽

Fuzzy Reasoning ◽

Performance Criterion ◽

Active Damping ◽

Rule Base ◽

Control Law ◽

Traditional Algorithm ◽

Control Forces ◽

Modal Space

Abstract Independent Modal Space Control (IMSC) is an established technique in active suppression of vibrations, in which the control law is developed exclusively in the modal space, allowing for independent design of the modal control forces. These forces can be transformed to the physical domain through modal transformation. The resulting controller is fixed-gain, with the active damping introduced to the system determined independently for each mode and is a function of the velocity for the under-damped case. In this work we propose to modify IMSC using fuzzy reasoning. The result is a new non-linear control law, embedding fuzzy reasoning and an implicit fuzzy rule-base that transforms the traditional algorithm from a fixed-gain to a variable-gain controller. The algorithm uses information about the displacement profile across the sensed locations to distribute the active damping rationally among the modal controllers. This new algorithm complements the “local” view of the traditional algorithm in the modal space, with a “global” view of the displacements in the physical space. The results show significant improvement in the settling time as the performance criterion.

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On Estimating Non-standard Discrete Distributions Using Adaptive MCMC Methods

International Journal of Statistics and Probability ◽

10.5539/ijsp.v7n3p1 ◽

2018 ◽

Vol 7 (3) ◽

pp. 1 ◽

Cited By ~ 1

Author(s):

Hatem Baffoun ◽

Mekki Hajlaoui ◽

Abdeljelil Farhat

Keyword(s):

Performance Criterion ◽

Discrete Distributions ◽

Mcmc Methods ◽

Adaptive Mcmc ◽

Testing Problem ◽

Sampling Schemes ◽

Bayesian Hypothesis Testing ◽

Hypothesis Testing Problem ◽

Delayed Rejection ◽

Frequency Estimator

In this paper, we compare empirically the performance of some adaptive MCMC methods, that is, Adaptive Metropolis (AM) algorithm, Single Component Adaptive Metropolis (SCAM) algorithm and Delayed Rejection Adaptive Metropolis (DRAM) algorithm. The context is the simulation of non-standard discrete distributions. The performance criterion used is the precision of the frequency estimator. An application to a Bayesian hypothesis testing problem shows the superiority of the DRAM algorithm over the other considered sampling schemes.

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Zeno-free adaptive event-triggered control design

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331218799147 ◽

2018 ◽

Vol 41 (8) ◽

pp. 2328-2337 ◽

Cited By ~ 5

Author(s):

Hassan Adloo ◽

Mohammad Hossein Shafiei

Keyword(s):

Degrees Of Freedom ◽

Linear Time ◽

Sufficient Conditions ◽

Performance Criterion ◽

Linear Time Invariant ◽

Event Triggering ◽

Linear Time Invariant Systems ◽

System States ◽

Time Invariant ◽

Event Triggered

This paper presents a new general framework for adaptive event-triggered control strategy to extend average inter-event interval, while maintaining the performance of the system. The proposed event-triggering mechanism is acquired from input to state stability conditions, which is defined in terms of system states as well as an adaptation parameter. Under the Lipschitz assumption, a positive lower bound on sampling durations is also established that is essential to restrain the Zeno behavior. Applying the proposed method to linear time-invariant systems, leads to sufficient conditions to guarantee asymptotic stability in the form of matrix inequalities. Moreover, it is shown that there exist more degrees of freedom to improve the performance criterion from theoretical aspects. Finally, in order to show capability of the proposed method and its better performance compared with some recent works, numerical simulations are presented.

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