Books:
W.M. McEneaney:
Max-Plus Methods for Nonlinear Control and Estimation
Birkhauser Systems and Control Series, 2006.
M. Falcone, R. Ferretti, L. Grune and W. McEneaney (Eds.),
Numerical Methods for Optimal Control Problems
Springer INDAM Series, Vol. 29, 2018.
A. Kott and W.M. McEneaney (Eds.):
Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind
Chapman and Hall/CRC Press, 2007.
W.M. McEneaney, G. Yin and Q. Zhang (Eds.):
Stochastic Analysis, Control, Optimization and Applications:
A Volume in Honor of W.H. Fleming
Birkhauser Systems and Control Series, 1999.
Selected preprints (highly incomplete):
W.M. McEneaney:
The dequantized Schrodinger equation and a complex-valued stationary action diffusion representation,
Applied Math. Optim. (to appear).
W.M. McEneaney and P.M. Dower:
Static duality and a stationary-action application,
J. Differential Eqs. (to appear).
W.M. McEneaney:
A stationary-action control representation for the dequantized
Schrodinger equation,
Proc. 2016 Math. Theory Networks and Systems.
P.M. Dower, W.M. McEneaney and M. Cantoni:
A dynamic game approximation for a linear regulator problem with a log-barrier state constraint,
Proc. 2016 Math. Theory Networks and Systems.
W.M. McEneaney and P.M. Dower:
Staticization, Its Dynamic Program and Solution Propagation,
Automatica.
W.M. McEneaney and P.M. Dower:
Staticization and associated Hamilton-Jacobi and Riccati equations,
Proc. 2015 SIAM Conf. Control Theory and Applics.
P.M. Dower and W.M. McEneaney:
Solving two-point boundary value problems for a wave equation
via the principle of stationary action and optimal control,
SIAM J. Control and Optim.
P.M. Dower and W.M. McEneaney:
A max-plus fundamental solution semigroup for a class of lossless wave equations,
Proc. 2015 SIAM Conf. Control Theory and Applics.
S.-H. Han and W.M. McEneaney:
The principle of least action and a two-point boundary value problem
in orbital mechanics,
Applied Math. Optim. (to appear).
W.M. McEneaney and A. Pandey:
An idempotent algorithm for a class of network-disruption games,
Kybernetica (to appear).
W.M. McEneaney and P.M. Dower:
The Principle of Stationary Action and Numerical Methods for N-Body Problems,
Proc. 2014 Conf. Math. Theory Networks and Systems.
S.-H. Han and W.M. McEneaney:
The principle of least action and two-point boundary value problems
in orbital mechanics,
Proc. 2014 American Control Conf.
W.M. McEneaney and P.M. Dower:
The Principle of Least Action and Fundamental Solutions of Mass-Spring and N-Body Two-Point Boundary Value Problems
SIAM J. Control and Optim.
P.M. Dower and W.M. McEneaney:
A max-plus dual space fundamental solution for a
class of operator differential Riccati equations
SIAM J. Control and Optim., 53 (2015), 969-1002.
W.M. McEneaney and P.M. Dower:
The principle of least action and solution of two-point boundary-value problems on a limited time horizon
Proc. SIAM Conf. on Control and its Applics., (2013), 199-206.
W.M. McEneaney and H. Kaise:
Idempotent expansions for continuous-time stochastic control
Proc. 2013 SIAM Conf. on Control and its Applics.
W.M. McEneaney:
Idempotent Method for Deception Games and Complexity Attenuation
Proc. 2011 IFAC.
W.M. McEneaney, H. Kaise and S.H. Han:
Idempotent Method for Continuous-Time Stochastic Control and Complexity Attenuation
Proc. 2011 IFAC.
S. Sridharan, W.M. McEneaney, M. Gu and M.R. James:
A reduced complexity min-plus solution method to the optimal control of closed quantum systems
Applied Math. and Optim.
W.M. McEneaney and A. Deshpande:
Payoff Suboptimality Induced by Approximation of the Hamiltonian
SIAM J. Control and Optim.
W.M. McEneaney and S.H. Han:
Optimization Formulation and Monotonic Solution Method for the Witsenhausen Problem
Automatica.
P.M. Dower and W.M. McEneaney:
A max-plus based fundamental solution for a class of infinite dimensional Riccati equations
Proc. IEEE CDC 2011.
W.M. McEneaney, S.-H. Han and A. Liu:
An Optimization Approach to the Witsenhausen Counterexample
Proc. IEEE CDC 2011.
W.M. McEneaney:
Idempotent Expansions for Continuous-Time Stochastic Control
Proc. IEEE CDC 2010.
S. Sridharan, M. Gu, M.R. James and W.M. McEneaney:
A Reduced Complexity Numerical Method for Optimal Gate Synthesis
Phys. Review A (2010).
W.M. McEneaney:
Distributed Dynamic Programming for Discrete-Time Stochastic Control,
and Idempotent Algorithms
Automatica.
W.M. McEneaney:
Idempotent Method for Dynamic Games and Complexity Reduction in Min-Max Expansions
Proc. IEEE CDC 2009.
W.M. McEneaney:
Complexity Reduction, Cornices and Pruning
Tropical and Idempotent Mathematics,
AMS Contemporary Math. 495 (2009).
W.M. McEneaney:
Convergence Rate for a Curse-of-Dimensionality-Free Method
for HJB PDEs Represented as Maxima of Quadratic Forms
SIAM J. Control and Opt. 48 (2009).
W.M. McEneaney and L.J. Kluberg:
Convergence Rate for a Curse-of-Dimensionality-Free Method
for a Class of HJB PDEs
SIAM J. Control and Opt. 48 (2009).
W.M. McEneaney:
A New Fundamental Solution for Differential Riccati Equations
Arising in Control
Automatica 44 (2008), 920-936.
W.M. McEneaney, A. Deshpande and S. Gaubert:
Curse-of-Complexity Attenuation in the Curse-of-Dimensionality-Free Method for HJB PDEs
Proc. 2008 American Control Conf.
W.M. McEneaney, A. Oran and A. Cavender:
Value-Based Tasking Controllers for Sensing Assets
Proc. 2008 AIAA Guidance, Nav. and Control Conf.
W.M. McEneaney:
A Curse-of-Dimensionality-Free Numerical Method
for Solution of Certain HJB PDEs
SIAM J. Control and Opt. (2007).
W.M. McEneaney:
Max-Plus Summation of
Fenchel-Transformed Semigroups
for Solution of Nonlinear Bellman Equations
Systems and Control Letters
W.M. McEneaney and R. Singh:
Unmanned Vehicle Operations under Imperfect Information
in an Adversarial Environment
Proc. AIAA Unmanned Unlimited Conf. 2004.
W.M. McEneaney:
Max-Plus Eigenvector Methods for Nonlinear
H_infinity Problems: Error Analysis
Siam J. Control and Opt., Vol. 43 (2004), 379--412.
W.M. McEneaney:
Some Classes of Imperfect Information Finite State-Space Stochastic
Games with Finite-Dimensional Solutions
Appl. Math. and Optim., Vol. 50 (2004), 87--118.
W.M. McEneaney and P.M. Dower:
A max-plus affine power method for approximation of a class
of mixed l_infinity/l_2 value functions
Proc. IEEE CDC 2003.
W.M. McEneaney:
Max-Plus Eigenvector Representations for Solution of Nonlinear
H_infinity Problems: Basic Concepts
IEEE Trans. Auto. Control (2003).
W.M. McEneaney:
A Class of Reasonably Tractable Partially Observed Discrete Stochastic Games
Proc. 41st IEEE CDC (2002).
W.M. McEneaney:
A Class of Tractable Partially Observed Discrete Stochastic Games
Proc. MTNS 2002.
W.M. McEneaney:
Max-Plus Methods for Nonlinear H_infinity Control: Operating in
the Transform Space
41st IFAC Symposium on Robust Control Design, Milan, 2003.
W.M. McEneaney and B.G. Fitzpatrick:
Control for UAV Operations under Imperfect Information
Proc. 1st AIAA UAV Symposium (2002) AIAA-2002-3452.
W.M. McEneaney, B.G. Fitzpatrick and I.G. Lauko:
Stochastic Game Approach to Air Operations
IEEE Trans. Aero. Elec. Systems, Vol. 40 (2004), 1191--1216.
W.M. McEneaney:
Error Analysis for a Max-Plus Algorithm for a First-Order HJB Equation
Proc. Workshop on Max-Plus Algebra, Prague August 2001.
W.M. McEneaney:
Convergence and Error Analysis for a Max-Plus Algorithm
Proc. 39th IEEE CDC (2000), 1194-1199.
W.M. McEneaney and K. Ito:
Stochastic Games and Inverse Lyapunov Methods in Air Operations
Proc. 39th IEEE CDC (2000), 2568-2573.
W.M. McEneaney:
The Max-Plus Eigenvector Algorithm for Nonlinear H_infinity
Control
ACC 2000.
W.M. McEneaney:
Robust/Game-Theoretic Methods in Filtering and Estimation
Proc. DARPA Symposium on Advances in Enterprise Control (1999).
W.H. Fleming and W.M. McEneaney:
Robust Limits of Risk-Sensitive Nonlinear Filters
Math. Control, Signals and Systems, 14 (2001), 109-142.
W.M. McEneaney and C.D. Charalambous:
Large Deviations Theory, Induced Log-Plus and Max-Plus
Measures and their Applications
Proc. Math. Theory of Networks and Systems (MTNS), (2000).
W.M. McEneaney:
Exactly Linearizing Algebras for Risk-Sensitive Filtering
Proc. 38th IEEE CDC (1999).
J.W. Helton, F.D. Kronewitter, W.M. McEneaney and M. Stankus:
Singularly Perturbed Control Systems Using Noncommutative Computer Algebra
Int'l. J. of Robust and Nonlinear Control, 10 (2000), 983-1003.
M. Horton and W.M. McEneaney:
Computation of
Max--Plus Eigenvector Representations for Nonlinear H_infinity
Value Functions
ACC 1999 1400-1404.
J.W. Helton, M.R. James and W.M. McEneaney:
Measurement Feedback Nonlinear H_infinity Control:
the Cheap Sensor Case (Part 1)
Submitted to IEEE Trans. Auto. Control.
M. Horton and W.M. McEneaney:
Max-Plus Eigenvector Representations for Nonlinear H_infinity
Value Functions
37th IEEE CDC (1998), 3506--3511
J.W. Helton, M.R. James and W.M. McEneaney:
Nonlinear control: the joys of having an extra sensor
37th IEEE CDC (1998). 3518--3524
F. Da Lio and W.M. McEneaney:
Finite Time-Horizon Risk Sensitive Control and the Robust Limit
under a Quadratic Growth Assumption
SIAM J. Control and Optim. (2002)
W.H. Fleming and W.M. McEneaney:
A Max-Plus Based Algorithm for an HJB Equation of Nonlinear Filtering
SIAM J. Control and Optim., 38 (2000), 683-710.
W.M. McEneaney:
A uniqueness result for the Isaacs equation corresponding to
nonlinear H_infinity control
Mathematics of Control, Signals and Systems 11 (1998) 303-334.
W.H. Fleming and W.M. McEneaney:
Risk sensitive and robust nonlinear filtering
36th IEEE CDC (1997) 1088-1093.
K. Ito and W.M. McEneaney:
Infinite Time--Horizon Risk Sensitive Systems with Quadratic Growth
36th IEEE CDC (1997) 3413-3418.
W.M. McEneaney:
Robust/H_infinity Filtering for Nonlinear Systems
Systems and Control Letters, 33 (1998) 315-325.
W.M. McEneaney:
A robust control framework for option pricing
Math. of Operations Research, Vol 22 (1997) 202--221.
W.M. McEneaney:
Optimal aeroassisted guidance using Loh's term approximations
J. Guidance, Control and Dyns., Vol 14 (1991) 368--376.
D. Sonnabend and W.M. McEneaney:
Gravity gradient measurements
Proc. IEEE CDC, 1988 860--866.
An oldie:
My thesis
from May, 1993.
The image below represents fundamental solution
of a n-body problem with three bodies.
One may use such a fundamental solution to solve two-point
boundary value problems
for a variety of boundary data without the
necessity of re-solving the problem for each set
of data.
Back to my homepage
email me at wmcenean@math.ucsd.edu