Dynamic Systems Analysis Programs with Classical and Optimal Control Applications of Human Performance Models

Verification and validation (V&V) for human performance models (HPMs) can be likened to building a house with no bricks, since it is difficult to obtain metrics to validate a model when the system is still in development. HPMs are effective for performing trade-offs between the human system designs factors including number of operators needed, the role of automated tasks versus operator tasks, and member task responsibilities required to operate a system. On a recent government contract, our team used a human performance model to provide additional analysis beyond traditional trade studies. Our team verified the contractually mandated staff size for using the system. This task demanded that the model have sufficient fidelity to provide information for high confidence staffing decisions. It required a method for verifying and validating the model and its results to ensure that it accurately reflected the real world. The situation caused a dilemma because there was no actual system to gather real data to use to validate the model. It is a challenge to validate human performance models, since they support design decisions prior to system. For example, crew models are typically inform the design, staffing needs, and the requirements for each operator’s user interface prior to development. This paper discusses a successful case study for how our team met the V&V challenges with the US Air Force model accreditation authority and successfully accredited our human performance model with enough fidelity for requirements testing on an Air Force Command and Control program.

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Approximations based optimal control design for a class of switched dynamic systems

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2014.7048482 ◽

2014 ◽

Author(s):

V. Azhmyakov ◽

R. R. Serrezuela ◽

L. A. Guzman Trujillo

Keyword(s):

Optimal Control ◽

Dynamic Systems ◽

Control Design

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Human Performance Models for Training Design

Applications of Human Performance Models to System Design ◽

10.1007/978-1-4757-9244-7_31 ◽

1989 ◽

pp. 427-441

Author(s):

C. M. Knerr ◽

P. J. Sticha ◽

H. R. Blacksten

Keyword(s):

Human Performance ◽

Training Design ◽

Performance Models

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Generalisations in Dynamic Systems Analysis. A Phenomenological Approach

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)66028-2 ◽

1978 ◽

Vol 11 (1) ◽

pp. 865-874

Author(s):

F.J. Evans

Keyword(s):

Dynamic Systems ◽

Systems Analysis ◽

Phenomenological Approach

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Parameter Design in Optimal Control Problems for Linear Dynamic Systems Using a Canonical Form

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.4025455 ◽

2013 ◽

Vol 136 (1) ◽

Author(s):

Ui-Jin Jung ◽

Gyung-Jin Park ◽

Sunil K. Agrawal

Keyword(s):

Optimal Control ◽

Dynamic System ◽

Dynamic Systems ◽

Control Method ◽

Linear Dynamic System ◽

Parameter Design ◽

Control Problems ◽

State Transformation ◽

Specific System ◽

Linear Dynamic

Control problems in dynamic systems require an optimal selection of input trajectories and system parameters. In this paper, a novel procedure for optimization of a linear dynamic system is proposed that simultaneously solves the parameter design problem and the optimal control problem using a specific system state transformation. Also, the proposed procedure includes structural design constraints within the control system. A direct optimal control method is also examined to compare it with the proposed method. The limitations and advantages of both methods are discussed in terms of the number of states and inputs. Consequently, linear dynamic system examples are optimized under various constraints and the merits of the proposed method are examined.

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