scholarly journals A Dynamic State Variable Model of Mate Desertion in Cooper's Hawks

Ecology ◽  
1993 ◽  
Vol 74 (2) ◽  
pp. 351-366 ◽  
Author(s):  
Elizabeth J. Kelly ◽  
Patricia L. Kennedy
Keyword(s):  
Dynamic State ◽  
Variable Model ◽  
State Variable ◽  
Mate Desertion ◽  
State Variable Model ◽  
Dynamic State Variable Model ◽  
Cooper's Hawks

scholarly journals Individual quotas, fishing effort allocation, and over-quota discarding in mixed fisheries

2009 ◽  
Vol 67 (2) ◽  
pp. 323-333 ◽  
Author(s):  
J. J. Poos ◽  
J. A. Bogaards ◽  
F. J. Quirijns ◽  
D. M. Gillis ◽  
A. D. Rijnsdorp
Keyword(s):  
Fishing Effort ◽  
Dynamic State ◽  
Substantial Part ◽  
Variable Model ◽  
Effort Allocation ◽  
State Variable ◽  
Catch Rates ◽  
The Cost ◽  
Explicit Dynamic ◽  
Dynamic State Variable Model

Abstract Poos, J. J., Bogaards, J. A., Quirijns, F. J., Gillis, D. M., and Rijnsdorp, A. D. 2010. Individual quotas, fishing effort allocation, and over-quota discarding in mixed fisheries. – ICES Journal of Marine Science, 67: 323–333. Many fisheries are managed by total allowable catches (TACs) and a substantial part by individual quotas. Such output management has not been successful in mixed fisheries when fishers continue to fish while discarding marketable fish. We analyse the effects of individual quotas on spatial and temporal effort allocation and over-quota discarding in a multispecies fishery. Using a spatially explicit dynamic-state variable model, the optimal fishing strategy of fishers constrained by annual individual quotas, facing uncertainty in catch rates, is studied. Individual fishers will move away from areas with high catches of the restricted quota species and, depending on the cost of fishing, will stop fishing in certain periods of the year. Individual vessels will discard marketable fish, but only after their individual quota for the species under consideration has been reached. These results are in line with observations on effort allocation and discarding of marketable fish, both over-quota discarding and highgrading, by the Dutch beam-trawl fleet. The models we present can be used to predict the outcomes of management and are therefore a useful tool for fisheries scientists and managers.

A state variable model for high strength polymers

1995 ◽  
Vol 35 (4) ◽  
pp. 310-316 ◽  
Author(s):  
Erhard Krempl ◽  
Christine M. Bordonaro
Keyword(s):  
High Strength ◽  
Variable Model ◽  
State Variable ◽  
State Variable Model

State Variable Model for Volumetric Creep of Clay

1985 ◽  
Vol 111 (1) ◽  
pp. 42-61
Author(s):  
Paul R. Dawson ◽  
Joel Lipkin ◽  
Herrick S. Lauson
Keyword(s):  
Variable Model ◽  
State Variable ◽  
State Variable Model

State Variable Model of a Solar Power System

2011 ◽  
Vol 6 (6) ◽  
pp. 563-579 ◽  
Author(s):  
A.B. Chattopadh ◽  
A. Choudhury ◽  
A. Nargund
Keyword(s):  
Power System ◽  
Solar Power ◽  
Variable Model ◽  
State Variable ◽  
State Variable Model

A Fitting Method for Establishing an Aeroengine’s State Variable Model Based on Process Identification

2012 ◽  
Vol 236-237 ◽  
pp. 1356-1361
Author(s):  
Xiang Xing Kong ◽  
Xi Wang
Keyword(s):  
Nonlinear Model ◽  
Good Accuracy ◽  
Dynamic Performance ◽  
Variable Model ◽  
Process Identification ◽  
State Variable ◽  
Fitting Method ◽  
Derivative Method ◽  
State Variable Model ◽  
Operating Points

The bias derivative method for aeroengine’s State Variable Model(SVM) doesn’t have a satisfying accuracy. This method usually needs a linear modification to achieve a higher accuracy. In order to obtain a SVM with a good accuracy, this paper proposes a process identification based method. In this method, the coefficient matrices of the SVM are identified based on the input and output of the nonlinear model, according to the principle that the step responses of the SVM and the nonlinear model should be consistent. Then, the SVMs of small perturbation about steady operating points of an engine are established. Simulation results show that the SVMs established by the process identification based method have a good fidelity both in terms of steady and dynamic performance.

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