Analytical structures and analysis of fuzzy PD controllers with multifuzzy sets having variable cross-point level

Patel, Ambalal V.

doi:10.1016/s0165-0114(01)00207-x

Cited by 19 publications

(9 citation statements)

References 24 publications

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“…Lastly, Fuzzy Logic Assessment (FLA) [65], which is a scientific approach where uncertainties in judgment are covered for all possible distributions [66], was used to eliminate the possibility of the scenic value assessor (who ticks one box for each parameter of the checklist- Table 2) and FLA overcomes the problem of the wrong attribute being selected and placed in the checklist box, i.e., a cliff slope being recorded in the < 45 • box, when in fact it was c. 70 • (see corrections coefficients in Table 2). It is extremely unlikely that a jump of two attributes would take place.…”

Section: Methodology Usedmentioning

confidence: 99%

Management Implications for the Most Attractive Scenic Sites along the Andalusia Coast (SW Spain)

et al. 2018

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A coastal scenery assessment was carried out at 50 sites along the 910 km long Andalusia coast (SW Spain) using a checklist of 26 natural and human parameters, parameter weighting matrices, and fuzzy logic. A scenic classification was utilised that can rate sites as Class I (natural areas of great scenic beauty) to Class V (urbanised areas of poor scenic interest), but, for this study, only natural sites of great scenic value were investigated; 41 sites were included in Class I, 9 in Class II and, apart from four, all of the sites were under some feature of protection-managed by the Andalusia Environmental Agency (RENPA, in Spanish). Sites belong to the Natural Park Cabo de Gata-Nijar (24% of sites), the Natural Park of Gibraltar Strait (18%), the Natural Place Acantilado de Maro-Cerro Gordo (12%), and the Natural and National parks of Doñana (8%). Results obtained by means of scenic evaluation constitute a sound scientific basis for any envisaged management plan for investigated coastal areas preservation/conservation and responsible future developments, especially for natural protected areas, which represent the most attractive coastal tourist destinations. With respect to natural parameters, excellent scenic values appeared to be linked to the geological setting and the presence of mountainous landscapes related to the Betic Chain. Human parameters usually show good scores because null or extremely reduced human impacts are recorded, but, at places, conflicts arose between conservation and recreational activities because visitors are often interested in beach activities more so than ecotourism. Low scores of human parameters were often related to litter presence or the unsuitable emplacement of utilities, such as informative panels, litter bins, etc.

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Section: Methodology Usedmentioning

confidence: 99%

Management Implications for the Most Attractive Scenic Sites along the Andalusia Coast (SW Spain)

et al. 2018

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“…The 26 parameters were then assessed by a further group of beach users (>500 enquires carried out in the above-mentioned countries) to determine their relative importance, i.e., all parameters are NOT equal, some being more important than others. Further, to limit errors linked to subjective pronouncements and uncertainties inherited in assessment parameters, a Fuzzy Logic Assessment (FLA) [34] approach was used [16]. FLA represents a mathematical, analytical tool used when the complexity of the process in question is very high and there are no precise mathematical models to solve it, such as for highly non-linear processes.…”

Section: Methodsmentioning

confidence: 99%

Coastal Scenic Evaluation of Continental Ecuador and Galapagos Islands: Human Impacts and Management Issues

Mestanza-Ramón

Anfuso

Ruiz

et al. 2020

JMSE

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The scenery, safety, facilities, water quality and litter quantities in coastal areas are relevant and determining elements in the choice of a tourist destination. This paper focused on the evaluation of coastal scenic value in 55 and 12 sites respectively located in continental Ecuador and the Galapagos Islands. The information obtained gives public administrators and coastal managers the relevant data to avoid further environmental degradation and suggests measures to improve the present scenic value of tourist destinations. The methodology used was based on the analysis of 26 physical/human factors and applied fuzzy logic analysis and weighting matrices that allowed the sites to be classified into five classes, from Class I (natural areas with superior scenic characteristics) to Class V (poor scenic areas with relevant impact of human interventions). The most attractive beaches were in the Galapagos Islands due to the magnificent physical and environmental characteristics, while the Esmeraldas province presented sites of lower scenic beauty due to the low natural scenic value and the increase of human impacts. In total, 22% (15 out of 67) of the beaches investigated belonged to Class I, 12% (8) to Class II and 15% (10) to Class III. The last two classes included 51% of the beaches (i.e., 34 out of 67), of which 31% (21) was in Class IV and 20% (13) in Class V. Such results provide local managers and planners a solid inventory on coastal scenic characteristics and baseline information for any envisaged subsequent management plan.

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“…This is given by the expression Table 4 gives the outcome of T-norm operator for rule antecedent, defined in Eqn (31) and Eqn (32) for i th rule, has explained each such individual contribution represents the value of the output variable as computed by a single rule. In this, first the degree of match between the crisp inputs and fuzzy sets describing the meaning of the rule antecedent is computed for each rule using the triangular norm (T-norm): intersection or algebraic product as follows: control decision due to different implication methods and area of the clipped output fuzzy set 3,4 . Once the correction factor (output) is determined then actual B-matrix elements under surface fault condition are determined and subsequently new control gain is determined by another fuzzy module.…”

Section: Drastic Intersection Implicationmentioning

confidence: 99%

“…Fuzzy logic is a nonmodel-based technique which deals with knowledge of process behaviour and experience of people working with the process and it can handle non-crisp and incomplete information. Since the first successful application of the idea of fuzzy sets of Zadeh to the control of a dynamic plant by Mamdani and Assilian Fuzzy control Systems Engineering has gained worldwide interest 3,4 . It is possible to control many complex systems effectively by experienced human operators who have no knowledge of their underlying dynamics, while it is difficult to achieve the same with conventional controllers.…”

Section: Introductionmentioning

confidence: 99%

Sensor/Control Surface Fault Detection and Reconfiguration using Fuzzy Logic

Savanur¹,

Patel²

2010

DSJ

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In the aircraft flight control systems, a quick detection of the faults, that occur in actuators, control surfaces or sensors, is necessary. In this paper, sensor fault detection and reconfiguration is performed using Kalman filter by estimating the states of the plant and comparing them with respective measured values from the sensors. Sensor fault detection and reconfiguration is carried out using non-model-based fuzzy logic technique. Control surface fault detection and reconfiguration is carried out by identifying the elements of control distribution matrix using extended Kalman filter and fuzzy logic. In estimating the factor of effectiveness of the control surface using fuzzy logic, different implication methods such as Mamadanis minimum, Larsens product, bounded product and drastic product have been used and a comparison is made.

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Analytical structures and analysis of fuzzy PD controllers with multifuzzy sets having variable cross-point level

Cited by 19 publications

References 24 publications

Management Implications for the Most Attractive Scenic Sites along the Andalusia Coast (SW Spain)

Management Implications for the Most Attractive Scenic Sites along the Andalusia Coast (SW Spain)

Coastal Scenic Evaluation of Continental Ecuador and Galapagos Islands: Human Impacts and Management Issues

Sensor/Control Surface Fault Detection and Reconfiguration using Fuzzy Logic

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