Supplement to “Consolidity: Moving opposite to built-as-usual systems practices”

Dorrah, Hassen T.

doi:10.1016/j.asej.2013.02.009

Cited by 7 publications

(12 citation statements)

References 21 publications

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“…Such concept was then developed later for physical systems by introducing the ''time driven-event driven-parameters change'' paradigm shown in Fig. 1 [1,2] (see also Appendices A and B for definitions and previous new findings respectively).…”

Section: Introductionmentioning

confidence: 98%

“…1 Preliminary investigations of ad hoc examples in life sciences, engineering, biology and medicine showed that there are two important forms in real life of (1), namely the linear (or linearized) and the exponential relationship for nonlinear cases, given respectively as [2,4]: such that a and b are changeability coefficients related to the system physical properties [2]. In general, Eqs.…”

Section: Introductionmentioning

confidence: 99%

“…Within the framework of the change pathway theory, it is considered that every system (including its parts and components) is intelligently conducting autonomous self-recording of its affected varying environments or events through inducing corresponding (infinite) forward stacking changes in the system parameters. Backward stacking can also be derived under certain reversibility conditions for the retrieval of historic-influenced events [2].…”

Section: Introductionmentioning

confidence: 99%

“…The formal mathematical formulation of the paradigm together with illustrative case studies can be found in [1,2].…”

Section: Introductionmentioning

confidence: 99%

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Toward a new “Fractals-General Science”

Dorrah

2014

Alexandria Engineering Journal

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A recent study has shown that everywhere real systems follow common ''fractals-general stacking behavior'' during their change pathways (or evolutionary life cycles). This fact leads to the emergence of the new discipline ''Fractals-General Science'' as a mother-discipline (and acting as upper umbrella) of existing natural and applied sciences to commonly handle their fractals-general change behavior. It is, therefore, the main targets of this short communication are to present the motives, objectives, relations with other existing sciences, and the development map of such new science. It is discussed that there are many foreseen illustrative applications in geology, , and arts that could effectively lead the implementation and experimentation of such new science. It is highlighted that the new ''Fractals-General Science'' could provide through multi-stacking representations the necessary platforms for investigating interactions and mutual changes between real life systems belonging to several sciences and disciplines. Examples are handling problems of the processing of basic formation and changes of matter and substances, propagation of combined corrosion, creep, fatigue and sedimentation of engineering and industrial systems, and the progressing of humans' evolutionary life cycles.ª 2014 Production and hosting by Elsevier B.V. on behalf

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The formal mathematical formulation of the paradigm together with illustrative case studies can be found in [1,2].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Toward a new “Fractals-General Science”

Dorrah

2014

Alexandria Engineering Journal

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“…However, system changes are transferred at each event step to corresponding infinite stack-based parameters changes at basic system level and to changes in consolidity index at the higher level. The definition of the stack has been changed to be more realistic and express any system [9,10]. Based on this new stack definition, a new Generalized Data Stack Programming (GDSP) model was presented in [11].…”

Section: Introductionmentioning

confidence: 99%

Routing in Wireless Sensor Networks based on Generalized Data Stack Programming Model

Elhadidy¹,

Rizk²,

Dorrah³

2014

ijacsa

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Abstract-Generalized Data Stack Programming (GDSP) model describes that any affected activity or varying environment is intelligently self-recorded inside the system in form of stack-based layering types where stack is re-defined to be one of six classes. The multi-stacking network is presented thinking of that any system connects to other system to work properly. This addresses a novel way to investigate and analyze any system. Wireless Sensor Networks (WSNs) monitor the environment and take action accordingly. However, WSN suffers from some weakness due to nodes failure or interference which affects the network topology and the routing table at each node. In this paper, the GDSP model is applied on the routing problems in WSNs. A history matrix at the user side is proposed to retrieve and backward the events affected the network.

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A new approach for automatic control modeling, analysis and design in fully fuzzy environment

Gabr

2015

Ain Shams Engineering Journal

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The paper presents a new approach for the modeling, analysis and design of automatic control systems in fully fuzzy environment based on the normalized fuzzy matrices. The approach is also suitable for determining the propagation of fuzziness in automatic control and dynamical systems where all system coefficients are expressed as fuzzy parameters. A new consolidity chart is suggested based on the recently newly developed system consolidity index for testing the susceptibility of the system to withstand changes due to any system or input parameters changes effects. Implementation procedures are elaborated for the consolidity analysis of existing control systems and the design of new ones, including systems comparisons based on such implementation consolidity results. Application of the proposed methodology is demonstrated through illustrative examples, covering fuzzy impulse response of systems, fuzzy Routh-Hurwitz stability criteria, fuzzy controllability and observability. Moreover, the use of the consolidity chart for the appropriate design of control system is elaborated through handling the stabilization of inverted pendulum through pole placement technique. It is also shown that the regions comparison in consolidity chart is based on type of consolidity region shape such as elliptical or circular, slope or angle in degrees of the centerline of the geometric shape, the centroid of the geometric shape, area of the geometric shape, length of principal diagonals of the shape, and the diversity ratio of consolidity points for each region. Finally, it is recommended that the proposed consolidity chart approach be extended as a unified theory for modeling, analysis and design of continuous and digital automatic control systems operating in fully fuzzy environment. Ó 2015 Faculty of Engineering, Ain Shams University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Supplement to “Consolidity: Moving opposite to built-as-usual systems practices”

Cited by 7 publications

References 21 publications

Toward a new “Fractals-General Science”

Toward a new “Fractals-General Science”

Routing in Wireless Sensor Networks based on Generalized Data Stack Programming Model

A new approach for automatic control modeling, analysis and design in fully fuzzy environment

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