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This book describes new tools for front end analog designers,
starting with global variation-aware sizing, and extending to novel
variation-aware topology design. The tools aid design through
automation, but more importantly, they also aid designer insight
through automation. We now describe four design tasks, each more
general than the previous, and how this book contributes design
aids and insight aids to each. The ?rst designer task targeted is
global robust sizing. This task is supported by a design tool that
does automated, globally reliable, variation-aware s- ing
(SANGRIA), and an insight-aiding tool that extracts
designer-interpretable whitebox models that relate sizings to
circuit performance (CAFFEINE). SANGRIA searches on several levels
of problem dif?culty simultaneously, from lower cheap-to-evaluate
"exploration" layers to higher full-evaluation "exploitation"
layers (structural homotopy). SANGRIAmakes maximal use of circuit
simulations by performing scalable data mining on simulation
results to choose new candidate designs. CAFFEINE accomplishes its
task by tre- ing function induction as a tree-search problem. It
constrains its tree search space via a canonical-functional-form
grammar, and searches the space with grammatically constrained
genetic programming. The second designer task is topology
selection/topology design. Topology selection tools must consider a
broad variety of topologies such that an app- priate topology is
selected, must easily adapt to new semiconductor process nodes, and
readily incorporate new topologies. Topology design tools must
allow designers to creatively explore new topology ideas as rapidly
as possible.
This book focuses on most recent theoretical findings on control
issues for active suspension systems. The authors first introduce
the theoretical background of active suspension control, then
present constrained H control approaches of active suspension
systems in the entire frequency domain, focusing on the state
feedback and dynamic output feedback controller in the finite
frequency domain which people are most sensitive to. The book also
contains nonlinear constrained tracking control via terminal
sliding-mode control and adaptive robust theory, presenting
controller design of active suspensions as well as the reliability
control of active suspension systems. The target audience primarily
comprises research experts in control theory, but the book may also
be beneficial for graduate students alike.
This book describes new tools for front end analog designers,
starting with global variation-aware sizing, and extending to novel
variation-aware topology design. The tools aid design through
automation, but more importantly, they also aid designer insight
through automation. We now describe four design tasks, each more
general than the previous, and how this book contributes design
aids and insight aids to each. The ?rst designer task targeted is
global robust sizing. This task is supported by a design tool that
does automated, globally reliable, variation-aware s- ing
(SANGRIA), and an insight-aiding tool that extracts
designer-interpretable whitebox models that relate sizings to
circuit performance (CAFFEINE). SANGRIA searches on several levels
of problem dif?culty simultaneously, from lower cheap-to-evaluate
"exploration" layers to higher full-evaluation "exploitation"
layers (structural homotopy). SANGRIAmakes maximal use of circuit
simulations by performing scalable data mining on simulation
results to choose new candidate designs. CAFFEINE accomplishes its
task by tre- ing function induction as a tree-search problem. It
constrains its tree search space via a canonical-functional-form
grammar, and searches the space with grammatically constrained
genetic programming. The second designer task is topology
selection/topology design. Topology selection tools must consider a
broad variety of topologies such that an app- priate topology is
selected, must easily adapt to new semiconductor process nodes, and
readily incorporate new topologies. Topology design tools must
allow designers to creatively explore new topology ideas as rapidly
as possible.
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