John Doyle 道陽 Jean-Lou Chameau Professor Control and Dynamical Systems, EE, & BioE
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Transcript of John Doyle 道陽 Jean-Lou Chameau Professor Control and Dynamical Systems, EE, & BioE
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John Doyle 道陽Jean-Lou Chameau Professor
Control and Dynamical Systems, EE, & BioE
tech1#Ca
Universal laws and architectures:Theory and lessons from
brains, bugs, nets, grids, docs, planes, fire, fashion,
art, turbulence, music, buildings, cities, earthquakes, bodies, running, throwing,
Synesthesia, spacecraft, statistical mechanics and
zombies
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• Brains• Nets• Grids (cyberphys)• Bugs (microbes, ants)• Medical physiology
• Lots of aerospace• Wildfire ecology• Earthquakes• Physics:
– turbulence, – stat mech (QM?)
• “Toy”: – Lego– clothing, fashion
• Buildings, cities• Synesthesia
Fundamentals!
Case Study
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• Neuroscience+ People care+ Live demos
• Internet (& Cyber-Phys)+ Understand the details- Flawed designs- Everything you’ve read is wrong (in science)*
• Cell biology (bacteria)+ Perfection Some people care
* this comment is for scientists
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• Neuroscience+ People care+Live demos!
1. experiments2. data3. theory4. universals
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control feedback
RNA
mRNA
RNApTranscription
Other Control
Gene
AminoAcids
Proteins
Ribosomes
Other Control
Translation
Metabolism Products
Signal transductionATP
DNANew gene
SensoryMotor
Prefrontal
Striatum
Reflex
LearningSoftware
Hardware
DigitalAnalog
Horizontal Gene
Transfer
Horizontal App
Transfer
Horizontal Meme
Transfer
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Slow
Flexible
Fast
Inflexible
Ideal
FragileArchitecture?
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Slow
Flexible
Fast
Inflexible
Ideal
Fragile
Impossible (law)
Architecture
Architecture (constraints that
deconstrain)
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Slow
Flexible
Fast
Inflexible
Impossible (law)
Architecture
Architecture (constraints that
deconstrain)
General Special
Universal laws and architectures (Turing)
ideal
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Robust vision with motion• Object motion• Self motion
Vision
Motion
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Fast
Slow
Flexible Inflexible
Vision
Explain this amazing system.
LayeringFeedback
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Experiment• Motion/vision control without blurring• Which is easier and faster?
Robust vision with• Hand motion• Head motion
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Fast
Slow
VOR
vision
Why?• Mechanism• Tradeoff
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Fast
Slow
Flexible Inflexible
VOR
vision
Vestibular Ocular Reflex (VOR)
Mechanism
Tradeoff
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Slow
Flexible
vision
eye vision
Actslow
delay
Fast
Inflexible
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Slow
Flexible
vision
eye vision
Actslow
delay
Fast
Inflexible
VOR
fast
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Slow
Flexible
eye
Act
Fast
Inflexible
VOR
fast
Vestibular Ocular Reflex (VOR)
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Slow
Flexible
eye
Act
Fast
Inflexible
VOR
fast
It works in the dark or with your eyes closed, but
you can’t tell.
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Slow
Flexible
vision
eye vision
Actslow
delay
Fast
Inflexible
VOR
fast
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vision
eye vision
Actslow
delay
VOR
Slow
Flexible
Fast
Inflexible
Illusion
Highly evolved (hidden)
architecture
LayeringFeedback
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eye vision
Act
VOR
Layering
AutomaticUnconscious
PartiallyConscious
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eye vision
Actslow
delay
VOR
fastLayeringFeedback
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vision
eye vision
Actslow
delay
VOR
Slow
Flexible
Fast
Inflexible
Illusion
fastArchitecture
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Slow
Flexible
Fast
Inflexible
Impossible (law)
Architecture
Architecture (constraints that
deconstrain)
General Special
Universal laws and architectures (Turing)
ideal
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Fast
Slow
Flexible Inflexible
Apps
OS
HW
AppsOS
HardwareDigital
LumpedDistributed
Tech implications/extensions
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Layered Architecture
AppsOS
HardwareDigital
LumpedDistributed
Any layer needs all
lower layers.
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Layered architectures 101
Apps
OS
HW
Operating SystemAppsOS
HardwareDigital
LumpedDistributed
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OS
DiverseDeconstrained(Hardware)
Deconstrained(Applications)
DiverseHorizontal App
Transfer
Horizontal HW
Transfer
Layered architectures
Apps
OS
HW
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OS
Layered architectures
Minimal diversity
and change
Apps
OS
HW
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DiverseDeconstrained
DeconstrainedDiverse
Horizontal Transfer
Horizontal Transfer
diversity and change
diversity and change
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DiverseDeconstrained(Hardware)
Deconstrained(Applications)
DiverseHorizontal App
Transfer
Horizontal HW
Transfer
Layered architectures
Apps
OS
HW
Maximal diversity
and change
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DiverseDeconstrained
(Hardware)
Deconstrained(Applications)
Diverse
Layered architectures
ConstrainedBut hidden
Apps
OS
HW
Core Protocols
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Fast
Slow
Flexible Inflexible
General Special
Apps
OS
HW
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Fast
Slow
Flexible Inflexible
General Special
Apps
OS
HW
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FastCostly
SlowCheap
Flexible Inflexible
General Special
Layered Architecture
AppsOSHW
DigitalLumpedDistrib.
OSHW
DigitalLumpedDistrib.
DigitalLumpedDistrib.
LumpedDistrib. Distrib.
Any layer needs all lower layers.
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DigitalLumped Lumped
.
AppsOS
HardwareDigital
Lumped
Act
Decide
Sense
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Act
Sense
AppsOS
HardwareDigital
Lumped
DecideSlow
Inflexible
Fragile
Slow
Inflexible
Fragile
Expensive
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Efficiency/instability/layers/feedback
• Money/finance/lobbyists/etc• Society/agriculture/weapons/etc• Bipedalism• Maternal care• Warm blood• Flight• Mitochondria• Translation (ribosomes)• Glycolysis (2011 Science)
• All create new efficiencies but also instabilities• Requires new active/layered/complex/active control
Slow
Inflexible
Fragile
Expensive
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accessibleaccountableaccurateadaptableadministrableaffordableauditableautonomyavailablecredibleprocess
capablecompatiblecomposable configurablecorrectnesscustomizabledebugabledegradabledeterminabledemonstrable
dependabledeployablediscoverable distributabledurableeffectiveefficientevolvableextensiblefail transparentfastfault-tolerantfidelityflexibleinspectableinstallableIntegrityinterchangeableinteroperable learnablemaintainable
manageablemobilemodifiablemodularnomadicoperableorthogonalityportableprecisionpredictableproducibleprovablerecoverablerelevantreliablerepeatablereproducibleresilientresponsivereusable robust
safety scalableseamlessself-sustainableserviceablesupportablesecurablesimplicitystablestandards
compliantsurvivablesustainabletailorabletestabletimelytraceableubiquitousunderstandableupgradableusable
Requirements on systems and architectures
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accessibleaccountableaccurateadaptableadministrableaffordableauditableautonomyavailablecompatiblecomposable configurablecorrectnesscustomizabledebugabledegradabledeterminabledemonstrable
dependabledeployablediscoverable distributabledurableeffective
evolvableextensiblefail transparentfastfault-tolerantfidelityflexibleinspectableinstallableIntegrityinterchangeableinteroperable learnablemaintainable
manageablemobilemodifiablemodularnomadicoperableorthogonalityportableprecisionpredictableproducibleprovablerecoverablerelevantreliablerepeatablereproducibleresilientresponsivereusable
safety scalableseamlessself-sustainableserviceablesupportablesecurablesimplestablestandardssurvivable
tailorabletestabletimelytraceableubiquitousunderstandableupgradableusable
efficient
robust
sustainable
Sustainable robust + efficient
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accessibleaccountableaccurateadaptableadministrableaffordableauditableautonomyavailablecompatiblecomposable configurablecorrectnesscustomizabledebugabledegradabledeterminabledemonstrable
dependabledeployablediscoverable distributabledurableeffective
evolvableextensiblefail
transparentfastfault-tolerantfidelityflexibleinspectableinstallableIntegrityinterchangeabl
einteroperable learnablemaintainable
manageablemobilemodifiablemodularnomadicoperableorthogonalit
yportableprecisionpredictableproducibleprovablerecoverablerelevantreliablerepeatablereproducibleresilientresponsivereusable
safety scalableseamlessself-sustainableserviceablesupportablesecurablesimplestablestandardssurvivable
tailorabletestabletimelytraceableubiquitousunderstandableupgradableusable
efficient
robust
sustainable
Simple dichotomous
tradeoff pairs
PCA Principal Concept Analysis
wasteful
fragile
efficientrobust
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wasteful
fragile
efficientrobust
Laws
Architectures
LayeringFeedback
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Robust
FragileUniversal
laws
wasteful
efficient
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Slow
Flexible
Fast
Inflexible
Robust
FragileUniversal
laws
wasteful
efficient
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Chandra, Buzi, and Doyle
UG biochem, math, control theory
Most important paper so far.
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k
z pz p
10-1 100 101100
101
too fragile
complex
No tradeoff
expensive
fragile
2 20
1 ln
ln
zS j dz
z pz p
Law #1 : ChemistryLaw #2 : Autocatalysis
Law #3:
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I recently found this paper, a rare example of exploring an explicit tradeoff between robustness and efficiency.
This seems like an important paper but it is rarely cited.
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1m
Bacteria
Phage
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Survive
Phage lifecycle
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Survive
Phage lifecycle
Infect
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Multiply
Survive
Phage lifecycle
Infect
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Multiply
Survive
Phage lifecycle
InfectLyse
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Multiply
Survive
Phage lifecycle
Tradeoff?
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Costly/slow
fragile
Efficient/fast
robust
Survive
Grow/Multiply
ideal
Ideal for phage, bad for bacteria
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fragile
robust
Survive
SlowCostly
FastEfficientCheap
Multiply
thinsmall
thickbig
Capsid sizeGenome size
What the data says
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fragile
robust
Survive
SlowCostly
FastEfficientCheap
Multiply
thinsmall
thickbig
Good architecture?
Evolut
ion
Laws?
Impossible?
Not viable?
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thinsmall
thickbig
Capsid sizeGenome size
Shared architecture
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thinsmall
thickbig
Capsid sizeGenome sizeWhy fragile?
Instability?
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Capsid sizeGenome sizeWhy fragile?
Instability?
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Capsid sizeGenome sizeWhy fragile?
Instability?
Defect
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Capsid sizeGenome sizeWhy fragile?
Instability?
Defect
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thinsmall
thickbig
Capsid sizeGenome size
Active control
Passive control
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fragile
robust
Survive
SlowCostly
FastEfficientCheap
Multiply
thinsmall
thickbig
Capsid sizeGenome size
What the data says
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Multiply
Survive
Phage lifecycle
InfectLyse
costly
fragile
cheap
robust
Survive
Multiply
thinsmall
architectures
thickbig
Evolut
ionLaws
Universals • Laws, constraints, tradeoffs– Robust/fragile– Efficient/wasteful– Fast/slow– Flexible/inflexible
• Architecture• Hijacking, parasitism,
predation
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control feedback
RNA
mRNA
RNApTranscription
Other Control
Gene
AminoAcids
Proteins
Ribosomes
Other Control
Translation
Metabolism Products
Signal transductionATP
DNANew gene
Horizontal Gene
TransferBacteria
Phage
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control feedback
RNA
mRNA
RNApTranscription
Other Control
Gene
AminoAcids
Proteins
Ribosomes
Other Control
Translation
Metabolism Products
Signal transductionATP
DNANew gene
Horizontal Gene
Transfer
Sequence ~100 E Coli (not chosen randomly)• ~ 4K genes per cell• ~20K different genes in total (pangenome)• ~ 1K universally shared genes • ~ 300 essential (minimal) genes
Clinical issue: antibiotic resistance?
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control feedback
RNA
mRNA
RNApTranscription
Other Control
Gene
AminoAcids
Proteins
Ribosomes
Other Control
Translation
Metabolism Products
Signal transductionATP
DNANew gene
SensoryMotor
Prefrontal
Striatum
Reflex
LearningSoftware
Hardware
DigitalAnalog
Horizontal Gene
Transfer
Horizontal App
Transfer
Horizontal Meme
Transfer
What can go wrong?
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Horizontal Bad Gene Transfer
Horizontal Bad App Transfer
Horizontal Bad Meme
Transfer
Parasites &
Hijacking
Fragility?
Exploiting layered
architecture
Virus
Virus
Meme
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easyhard
Law #1 : Mechanics ChemistryLaw #2 : Gravity Autocatalysis
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hard harder
Why?vision
Act
delay
Law #3 : Light
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Universal laws and architectures:brains, bugs, networks, physiology,
grids, medicine, wildfire, turbulence,literature, fashion, dance, earthquakes,
art, music, Lego, buildings, citiesvision
Act
delay
Control theory+ NeuroscienceBalancing
an inverted pendulum
Mechanics+Gravity +Light +
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Crashes can be
made rare with active
control.
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easy
hard
Gravity is stabilizing
Gravity is destabilizing
harder
More unstable
Law #1 : MechanicsLaw #2 : Gravity
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hard harder hardest!
Easy to prove using simple models.
What is sensed matters.
Why?
Why?!?
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Efficiency/instability/layers/feedback
• Money/finance/lobbyists/etc• Society/agriculture/weapons/etc• Bipedalism• Maternal care• Warm blood• Flight• Mitochondria• Translation (ribosomes)• Glycolysis (2011 Science)
• All create new efficiencies but also instabilities• Requires new active/layered/complex/active control
Slow
Inflexible
Fragile
Expensive
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Efficiency/instability/layers/feedback
• Money/finance/lobbyists/etc• Society/agriculture/weapons/etc• Bipedalism• Maternal care• Warm blood• Flight• Mitochondria• Translation (ribosomes)• Glycolysis (2011 Science)
• All create new efficiencies but also instabilities• Requires new active/layered/complex/active control
easy hard
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Universal laws
vision
Act
delay
+ Neuroscience
Balancing an inverted pendulum
Mechanics+Gravity +Light +
2 20
1 ln
ln
pT j dp
z ppz p
Some math details, which can be skipped
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easy
Law #1 : MechanicsLaw #2 : Gravity
2cos sin
cos sin 0sin
M m x ml u
x l gy x l
0
M m x ml u
x l gy x l
linearize
Mechanics+Gravity
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easyhard
Law #1 : MechanicsLaw #2 : Gravity
2cos sin
cos sin 0sin
M m x ml u
x l gy x l
0
M m x ml u
x l gy x l
linearize
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hard harder
Easy to prove using simple models.
Why?vision
Act
delay
Law #3 : Light 0
y x
M m x ml u
x l gl
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eye vision
slow
Act
delay
Control
l
1pl
noiseerror
ET jN
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Universal laws and architectures:brains, bugs, networks, physiology,
grids, medicine, wildfire, turbulence,literature, fashion, dance, earthquakes,
art, music, Lego, buildings, citiesvision
Act
delay + Neuroscience
Balancing an inverted pendulum
Mechanics+Gravity +Light +
2 20
1 ln
ln
pT j dp
z ppz p
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1
2
4
8
.1 1
Length l (meters)
.05 .5.2
1pl
Fragility
p .3s
2 20
1 2ln pT j d pp
Law #4 :
.1s
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1
2
4
8
.1 1
Length l (meters)
.05 .5.2
1pl
Fragility
p .3s
2 20
1 2ln pT j d pp
Law #4 :
.1s
Shorter
Fragile
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1
2
4
8
.1 1
Length l (meters)
.05 .5.2
1pl
Fragility
p .3s
2 20
1 2ln pT j d pp
Law #4 :
.1s Slow
er
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hard harder hardest!
Easy to prove using simple models.
What is sensed matters.
Why?
![Page 87: John Doyle 道陽 Jean-Lou Chameau Professor Control and Dynamical Systems, EE, & BioE](https://reader035.fdocuments.in/reader035/viewer/2022081604/56816471550346895dd656c2/html5/thumbnails/87.jpg)
hard harder hardest!
What is sensed matters.
Unstable poles Unstable zeros
0l l0l l
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hardest!
0l l
2 20
l1 n n2l z ppT j dp p
pz
0l l
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1
2
4
8
.1 1.05 .5.2Length (meters)
Fragility
ln z pp
p
z
.1s
2 20
l1 n n2l z ppT j dp p
pz
.3s
0 1l l
0l l
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Sense(Measure Lengthl0, m)
Length l to CoM, m
0.2 0.4 0.6 0.8 1
0.4
0.6
0.8
1
1.2
1
1.5
2
2.5
3
3.5easy
hardhard
robust(easy)
fragile(hard)
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Sense(Measure Lengthl0, m)
Length l to CoM, m
0.2 0.4 0.6 0.8 1
0.4
0.6
0.8
1
1.2
1
1.5
2
2.5
3
3.5
hardhardrobust(easy)
hard!
0l l
easy
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vision
Act
delay
2 20
1 ln
ln
pT j dp
z ppz p
Holds for all controllers.
Like Turing, a “law” about intrinsic problem difficulty.
![Page 93: John Doyle 道陽 Jean-Lou Chameau Professor Control and Dynamical Systems, EE, & BioE](https://reader035.fdocuments.in/reader035/viewer/2022081604/56816471550346895dd656c2/html5/thumbnails/93.jpg)
Efficiency/instability/layers/feedback
• Money/finance/lobbyists/etc• Society/agriculture/weapons/etc• Bipedalism• Maternal care• Warm blood• Flight• Mitochondria• Translation (ribosomes)• Glycolysis (2011 Science)
• All create new efficiencies but also instabilities• Requires new active/layered/complex/active control
Slow
Inflexible
Fragile
Expensive
![Page 94: John Doyle 道陽 Jean-Lou Chameau Professor Control and Dynamical Systems, EE, & BioE](https://reader035.fdocuments.in/reader035/viewer/2022081604/56816471550346895dd656c2/html5/thumbnails/94.jpg)
1
2
4
8
.1 1.05 .5.2
0l l
0 1l l
Length (meters)
Fragility
lnz pp
p
z
.1s
k
z pz p
10-1 100 101100
101
too fragile
complex
No tradeoff
expensive
fragile
eye vision
Actslow
VOR
fast
Act
delay
Balancing an inverted pendulum
Control
costly
fragile
cheap
robust
Survive
Multiply
thinsmall
thickbig
Laws
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1
2
4
8
.1 1.05 .5.2
0l l
0 1l l
Length (meters)
Fragility
lnz pp
p
z
.1s
k
z pz p
10-1 100 101100
101
too fragile
complex
No tradeoff
expensive
fragile
costly
fragile
cheap
robust
Survive
Multiply
thinsmall
thickbig
Laws
Slow
Inflexible
Fragile
Expensive
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Slow
Flexible
vision
eye vision
Act slowdelay
Fast
Inflexible
VOR
fastSlow
Inflexible
Fragile
Expensive
Slow
Flexible
Fast
Inflexible
Impossible (law)
General Special
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1
2
4
8
.1 1.05 .5.2
0l l
0 1l l
Length (meters)
Fragility
ln z pp
p
z
.1s
k
z pz p
10-1 100 101100
101
too fragile
complex
No tradeoff
expensive
fragile
costly
fragile
cheap
robust
Survive
Multiply
thinsmall
thickbig
Laws
Slow
Flexible
vision
eye vision
Act slowdelay
Fast
Inflexible
VOR
fast
Slow
Flexible
Fast
Inflexible
Impossible (law)
Universal laws
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What (some) reviewers say• “…to establish universality … is simply wrong. It
cannot be done…• … a mathematical scheme without any real
connections to biological or medical… • …universality is well justified in physics… for
biological and physiological systems …a dream …never be realized, due to the vast diversity in such systems.
• …does not seem to understand or appreciate the vast diversity of biological and physiological systems…
• …a high degree of abstraction, which …make[s] the model useless …
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Control, OR
CommsCompute
Physics
Shannon
Bode
Turing
Gödel
EinsteinHeisenberg
Carnot
Boltzmann
Theory?Deep, but fragmented, incoherent, incomplete
Nash
Von Neumann
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Control, OR
Compute
Bode
Turing
Delay and risk are most important
• Worst-case (“risk”)• Time complexity (delay)
• Worst-case (“risk”)• Delay severely degrades
robust performance
Computation for control• Off-line design• On-line implementation• Learning and adaptation
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Control, OR
CommunicateCompute
Physics
Shannon
Bode
Turing
Einstein
Heisenberg
Carnot
Boltzmann
Delay and risk are
most important
Delay and risk are
least important
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Communicate
Physics
Shannon
Einstein
Heisenberg
Carnot
Boltzmann
Dominates “high
impactscience” literature
• Average case (risk neutral)• Random ensembles• Asymptotic (infinite delay)
• “Layering” by averaging
• Space complexity
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Control, OR
CommunicateCompute
Physics
Shannon
Bode
Turing
Delay and risk are
most important
Delay and risk are
least important
New progress!
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Physics of Fluids (2011)
wU
z x
y
uz x
yFlow
upflowhigh-speed
region
downflowlow speed
streak
Blunted turbulent velocity profile
Laminar
Turbulent
wU3D coupling
Coherent structures and turbulent drag
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wasteful
fragile Laminar
Turbulent
efficient
robust
Laminar
Turbulent
wU
?
Control?
Fundamentals!