Efnisyfirlit

• Cover
• Title
• Copyright
• Dedication
• Contents
• Preface
• Acknowledgements
• Author biography
• Acronyms
• Part I Towards a unified theory exploiting a dynamical systems approach for physical heterogeneous continuous dynamical hypersystems
• 1 General considerations
• 1.1 Dynamical hypersystem definition
• 1.2 Conclusions
• 1.3 Summary
• Reference
• 2 Model definition
• 2.1 Introduction
• 2.2 Physical model
• 2.3 Deterministic mathematical model
• 2.3.1 Synthetic deterministic mathematical model
• 2.3.2 Chaotic deterministic mathematical model
• 2.4 Statistical mathematical model
• 2.5 Stochastic mathematical model
• References
• 3 Dynamical systems approach
• 3.1 Introduction
• 3.2 The dynamical systems approach to physical heterogeneous continuous dynamical hypersystems
• 3.3 Summary
• References
• 4 Algorithm for a formulation of the mathematical model
• 5 Developmental systems approach
• References
• 6 Synthetic mathematical model of the abstract functional heterogeneous continuous dynamical hypersystem
• 6.1 Abstract functional heterogeneous continuous dynamical hypersystem
• 6.2 Independent generalised coordinates
• 6.3 Unconstrained and constrained nonlinear functional heterogeneous continuous dynamical hypersystems—classification of the constraints
• 6.4 Principle of stationary action
• References
• Part II Towards a unified theory exploiting the theory of holors for physical heterogeneous continuous dynamical hypersystems
• 7 Physical heterogeneous continuous dynamical hypersystems as generalised physical commutation matrixers
• 7.1 Introduction
• 7.2 The generalised physical commutation matrixer’s input- and output-signal holor functions
• 7.3 Multi-port, multi-input/multi-output, generalised physical commutation matrixers
• 7.4 The principal physical commutation matrixer dynamical components
• 7.5 Input- and output-signal holors of physical commutation matrixers
• 7.6 Physical and mathematical modelling methodologies
• 7.7 Signal holors of physical commutation matrixers
• References
• 8 Physical commutation matrixer dynamical components
• 8.1 Introduction
• 8.2 Electrical commutation matrixer dynamical components
• 8.2.1 Electrical-signal holors
• 8.2.2 Electrical-resistance holors
• 8.2.3 Electrical-inductance holor
• 8.2.4 Electrical-capacitance holor
• 8.3 Magnetic commutation matrixer dynamical components
• 8.3.1 Magnetomotive-force and magnetic-flux holors
• 8.3.2 Magnetic-reluctance holor
• 8.3.3 Magnetic-energy-source holors
• 8.4 Mechanical commutation matrixer dynamical components
• 8.4.1 Mechanical-signal holors
• 8.4.2 Mechanical-resistance or damping holor
• 8.4.3 Mechanical inductance holor of the spring
• 8.4.4 Mechanical-capacitance holor of the mass
• 8.5 Fluidic commutation matrixer components
• 8.5.1 Fluidic-signal holors
• 8.5.2 Fluidic-resistance holor
• 8.5.3 Fluidic-inertance holor
• 8.5.4 Fluidic-capacitance holor
• 8.5.5 Fluidic energy sources
• 8.6 Thermal commutation matrixer dynamical components
• 8.6.1 Thermal-signal holors
• 8.6.2 Thermal-resistance holor
• 8.6.3 Thermal-inertance holor
• 8.6.4 Thermal-capacitance holor
• 8.6.5 General thermal dynamical components
• 8.7 Energy sources and loads
• 8.7.1 Energy-potential-difference sources
• 8.7.2 Energy-transfer sources
• 8.7.3 Loads
• 8.7.4 Coulomb friction
• 8.7.5 Weight
• 8.8 Physical dynamical components as mathematical operators
• 8.9 Summary
• Reference
• 9 Principal physical commutation matrixers as physical models
• 9.1 Introduction
• 9.2 Creation of physical commutation matrixers
• 9.3 Principal physical commutation matrixer laws
• 10 Generalised impedance and admittance holors of physical commutation matrixers
• 10.1 Sinusoidal responses to energy-potential-difference holor and energy-transfer holor functions
• 10.2 Impedance and admittance of principal physical commutation matrixer dynamical components
• 10.3 Generalised impedance and admittance holors in combination
• 10.3.1 Driving-point impedance and/or admittance holors
• 10.4 Physical heterogeneous continuous dynamical hypersystems’ transmittance or transfer-function holors
• 10.5 General formulation of physical-heterogeneous-continuous-dynamical-hypersystem holor equations
• 10.6 Some properties of linear physical heterogeneous continuous dynamical hypersystems
• 10.6.1 Two-port single-input/single output physical commutation matrixers
• Summary
• 10.6.2 Physical commutation matrixer having three independent nodes
• 10.6.3 Superposition theorem
• 10.6.4 Reciprocity theorem
• 10.6.5 Thévenin’s theorem
• 10.6.6 Norton’s theorem
• 10.6.7 Millman’s theorem
• Reference
• 11 Electrical homogeneous continuous dynamical systems as DC and AC electrical commutation matrixers
• 11.1 Introduction
• 11.2 Electrical homogeneous continuous dynamical systems’ holor algebra, steady-state DC analysis
• 11.2.1 DC holor algebra, steady-state analysis
• 11.2.2 Node-voltage holor method
• 11.2.3 Loop-current holor method
• 11.2.4 Superposition method
• 11.2.5 The DC energy source
• 11.2.6 The generation of DC energy
• 11.3 Electrical homogeneous continuous dynamical systems holor algebra, steady-state AC analysis
• 11.3.1 Sinusoidal AC holor algebra, steady-state analysis
• 11.3.2 The sinusoidal AC energy source
• 11.3.3 The generation of AC
• 11.3.4 Sinusoidal alternating current
• 11.3.5 Sinusoidal voltage and current waveforms—holor representation
• 11.3.6 The passive AC electrical-homogenous-continuous-dynamical-system components in the holor domain
• 11.3.7 An impedance-holor representation
• 11.3.8 An admittance-holor representation
• 11.3.9 AC power holor representation
• 11.3.10 A geometrical interpretation of the voltage, current and power holors
• 11.3.11 Conclusion
• 11.4 The single-phase AC electrical homogeneous continuous dynamical system as the single-phase AC electrical commutation matrixer
• 11.4.1 Introduction
• 11.4.2 Series and/or parallel transformations
• 11.4.3 Delta-to-wye or pi-to-tee equivalent
• 11.5 The polyphase AC electrical homogeneous continuous dynamical system as the polyphase AC electrical commutation matrixer
• 11.5.1 Introduction
• 11.6 The two-phase AC electrical homogeneous continuous dynamical system as the two-phase AC electrical commutation matrixer
• 11.6.1 Introduction
• 11.7 The three-phase AC electrical homogeneous continuous dynamical system as the three-phase AC electrical commutation matrixer
• 11.7.1 Introduction
• 11.7.2 Three-phase energy sources
• 11.7.3 Balanced three-phase AC electrical homogeneous continuous dynamical systems
• 11.7.4 Wye connection of the AC electrical homogenous continuous dynamical system
• 11.7.5 Delta connection of the AC electrical homogeneous continuous dynamical system
• 11.7.6 Unbalanced wye-connected load of the AC electrical homogeneous continuous dynamical system
• 11.7.7 Unbalanced delta-connected load of the AC electrical homogeneous continuous dynamical system
• 11.7.8 Power holor computations in balanced three-phase AC electrical homogeneous continuous dynamical systems
• 11.7.9 Delta three-phase AC electrical homogeneous continuous dynamical systems
• 11.7.10 Wye three-phase AC electrical homogeneous continuous dynamical systems
• 11.7.11 Holor algebra analysis of the wye–wye three-phase AC electrical homogenous continuous dynamical system
• 11.7.12 Holor algebra analysis of the wye-delta three-phase AC electrical homogeneous continuous dynamical system
• 11.7.13 Holor algebra analysis of the delta–wye three-phase AC electrical homogenerous continuous dynamical system
• 11.7.14 Holor algebra analysis of the delta–delta three-phase AC electrical homogeneous continuous dynamical system
• 11.7.15 Delta-to-wye transformations
• 11.7.16 Repetitive example I
• 11.7.17 Repetitive example II
• 11.8 Parallel-series resistance-inductance-capacitance AC electrical commutation matrixer
• 11.9 Application of Thévenin’s theorem
• 11.10 Application of superposition theorem
• References
• 12 Mechanical homogenous continuous dynamical systems as mechanical commutation matrixers
• 12.1 Simple plane-motion mechanical homogenous continuous dynamical system
• 12.2 Simple pendulum mechanical homogeneous continuous dynamical system (approximate solution)
• 12.3 Bicycle mechanical homogeneous continuous dynamical system
• 12.4 Damper–spring–mass mechanical homogeneous continuous dynamical system I
• 12.5 Damper–spring–mass mechanical homogeneous continuous dynamical system (II)
• 12.6 Automotive vehicle’s suspension mechanical commutation matrixer
• 12.7 Determination of the analogous impedance holor of mechanical commutation matrixers
• 12.8 Damper–spring–mass mechanical homogeneous continuous dynamical system (III)
• 12.9 Damper–mass mechanical commutation matrixer
• References
• 13 Fluidic homogeneous continuous dynamical systems as fluidic commutation matrixers
• 13.1 Fluidic-transmission line
• 13.2 Node-to-datum holor equations for the fluidic commutation matrixer
• 13.3 Loop and mesh holor equations for the fluidic commutation matrixer
• Part III Physical Matrixers as Physical Commutators
• 14 Mechanical commutation matrixer commutators for conventional DC and AC magneto-mechano-dynamical electrical machines
• 14.1 Introduction
• 14.2 MCM AC–DC/DC–AC commutator dynamotors
• 14.3 Schrage MCM AC–AC commutator motor
• 14.4 Exemplary applications of mechanical commutation matrixer (MCM) commutators
• 14.4.1 AC commutatorless motor—an MCM AC–DC commutator generator for converting AC–DC
• 14.4.2 MCM AC–DC commutator amplidyne
• 14.4.3 MCM AC–DC/DC–AC ring-commutator single-armature frequency converter
• 14.4.4 MCM DC–AC/AC–DC ring-commutator single-armature frequency converter and adjustable-ratio EE transformer connected to an AC commutatorless wound-rotor motor for rotational-speed-control purposes
• 14.4.5 MCM DC–AC/AC–DC ring-commutator single-armature frequency converter and MCM DC–AC commutator motor coupled to the shaft of the AC commutatorless wound-rotor motor for speed-control purposes
• References
• 15 Electrical commutation matrixer commutators for modern DC and AC magneto-mechano-dynamical electrical machines
• 15.1 Introduction
• 15.2 Status and trends
• 15.3 Physical and mathematical models of a generalised ECM AC–AC and/or AC–DC/DC–AC commutator
• 15.3.1 Introduction
• 15.3.2 Hybrid electrical commutation matrixer commutators
• 15.3.3 Monolithic electrical commutation matrixer commutators
• Summary
• 15.4 MCM and ECM AC–AC and AC–DC/DC–AC commutator dynamotors—a basic application
• 15.5 New-concept ECM AC–AC and AC–DC/DC–AC commutator dynamotors
• 15.6 Exemplary applications of electrical commutation matrixer commutators
• 15.6.1 A 2 × 2 ECM AC–DC/DC–AC commutator
• 15.6.2 A 3 × 3, 3 × 5 or 5 × 5 ECM AC–AC commutator
• 15.6.3 A 3 × 2 ECM AC–DC commutator
• 15.6.4 A 3 × 3 ECM AC–AC commutator
• 15.6.5 A single-phase ECM AC–AC and/or AC–DC/DC–AC commutator
• 15.6.6 A 2 × 3/3 × 2 ECM DC–AC/AC–DC commutator and 2 × 2 ECM DC–DC commutator
• 15.6.7 A 2 × 5/5 × 2 ECM DC–AC/AC–DC commutator
• 15.6.8 A 2 × 3 ECM DC–AC/AC–DC commutator and 2 × 2 DC–DC commutator
• 15.6.9 A 2 s(2 × 5)/2 s(5 × 2) ECM DC–AC/AC–DC commutator
• 15.7 Electrical commutation matrixer commutators—a look into the future
• 15.8 Conclusion
• References
• 16 Electrical commutation matrixer keyboards for computers
• 16.1 Introduction
• 16.2 How electrical commutation matrixer keyboards for computers work
• 16.3 Electrical commutation matrixer keyboard fundamentals
• 16.4 Electrical commutation matrixer keyboard’s electrical valves
• 16.5 Unconventional electrical commutation matrixer keyboards
• 16.6 Virtual electrical commutation matrixer keyboards
• 16.7 Canesta keyboard
• 16.8 Samsung’s Scurry keyboard
• 16.9 Exemplary electrical commutation matrixer keyboard
• 16.10 Conclusions
• References
• 17 Programmable-logic and/or generic-logic electrical commutation matrixers for digital devices
• 17.1 Introduction
• 17.2 Programmable-logic electrical-commutation-matrixers and classifications
• 17.2.1 The OR electrical commutation matrixer
• 17.2.2 The AND electrical commutation matrixer
• 17.2.3 Classifications of programmable-logic electrical commutation matrixers
• 17.3 Programmable ROMs (PROMs and EPROMs)
• 17.4 Programmable matrix logic (PML)
• 17.5 Generic matrix logic (GML)
• 17.6 Electrical commutation matrixer crossbar
• 17.7 Electrical commutation matrixer tactile sensor
• 17.8 Electrical commutation matrixer seven-segment display
• 17.9 Fluidic commutation matrixer combinational-chemistry microreaction
• 17.10 Exemplary applications of programmable-logic electrical commutation matrixer for digital devices
• 17.10.1 PCM implementing a 2048 × 8 EPROM
• 17.10.2 PCM implementing a sum-of-products (SOP) expression
• 17.10.3 GML implementing a sum-of-products (SOP) expression
• 17.10.4 Electrical commutation matrixer seven-segment display to put on show ‘5’
• 17.11 Conclusion
• References
• 18 Nano-magneto-rheological fluido-mechanical commutation matrixers for internal combustion engines
• 18.1 Introduction
• 18.2 The Fijalkowski engine concept
• 18.2.1 Magnetic-field-exciter’s electric-current sequencing for rotary motion
• 18.2.2 Engine output-shaft angular velocity control
• 18.2.3 Engine output-shaft deceleration and reverse
• 18.3 Fijalkowski engine cooling
• 18.4 The Fijalkowski engine advantages versus conventional internal combustion engines
• 18.5 Conclusions
• References
• 19 Conclusion and future trends
• 19.1 Concluding remarks
• 19.2 Future work
• References
• Glossary