 | 2010 |
|---|
| 11 |       | Francesco Borrelli,
Mato Baotic,
Jaroslav Pekar,
Greg Stewart:
On the computation of linear model predictive control laws.
Automatica 46(6): 1035-1041 (2010) |
| 2009 |
|---|
| 10 | | Francesco Borrelli,
Jaroslav Pekar,
Mato Baotic,
Greg E. Stewart:
On the Computation of Linear Model Predictive Control Laws.
CDC 2009: 7375-7380 |
| 2008 |
|---|
| 9 | | Miroslav Baric,
Pascal Grieder,
Mato Baotic,
Manfred Morari:
An efficient algorithm for optimal control of PWA systems with polyhedral performance indices.
Automatica 44(1): 296-301 (2008) |
| 8 | | Mato Baotic,
Francesco Borrelli,
Alberto Bemporad,
Manfred Morari:
Efficient On-Line Computation of Constrained Optimal Control.
SIAM J. Control and Optimization 47(5): 2470-2489 (2008) |
| 2005 |
|---|
| 7 | | Pascal Grieder,
Michal Kvasnica,
Mato Baotic,
Manfred Morari:
Stabilizing low complexity feedback control of constrained piecewise affine systems.
Automatica 41(10): 1683-1694 (2005) |
| 6 | | Francesco Borrelli,
Mato Baotic,
Alberto Bemporad,
Manfred Morari:
Dynamic programming for constrained optimal control of discrete-time linear hybrid systems.
Automatica 41(10): 1709-1721 (2005) |
| 2004 |
|---|
| 5 | | Michal Kvasnica,
Pascal Grieder,
Mato Baotic,
Manfred Morari:
Multi-Parametric Toolbox (MPT).
HSCC 2004: 448-462 |
| 2003 |
|---|
| 4 | | Rainer Möbus,
Mato Baotic,
Manfred Morari:
Multi-object Adaptive Cruise Control.
HSCC 2003: 359-374 |
| 2000 |
|---|
| 3 | | Ivan Petrovic,
Mato Baotic,
Nedjeljko Peric:
Model Structure Selection for Nonlinear System Identification Using Feedforward Neural Networks.
IJCNN (1) 2000: 53-57 |
| 1998 |
|---|
| 2 |  | Ivan Petrovic,
Mato Baotic,
Nedjeljko Peric:
A Cascade-Correlation Learning Network with Smoothing.
NC 1998: 1023-1029 |
| 1 | | Ivan Petrovic,
Mato Baotic,
Nedjeljko Peric:
An Efficient Newton-type Learning Algorithm for MLP Neural Networks.
NC 1998: 551-558 |
Data released under the ODC-BY 1.0 license — See also our legal information page