Sökning: "Pontus Giselsson"

Hittade 5 avhandlingar innehållade orden Pontus Giselsson.

1. 1. Gradient-Based Distributed Model Predictive Control

   Författare :Pontus Giselsson; Institutionen för reglerteknik; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : The thesis covers different topics related to model predictive control (MPC) and particularly distributed model predictive control (DMPC). One topic of the thesis is gradient-based optimization algorithms for solving the optimization problem arising in DMPC in a distributed manner. LÄS MER

3. 2. Novel Hessian approximations in optimization algorithms

   Författare :Erik Berglund; Mikael Johansson; Pontus Giselsson; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : There are several benefits of taking the Hessian of the objective function into account when designing optimization algorithms. Compared to using strictly gradient-based algorithms, Hessian-based algorithms usually require fewer iterations to converge. LÄS MER

4. 3. Approximate Solution Methods to Optimal Control Problems via Dynamic Programming Models

   Författare :Yuchao Li; Jonas Mårtensson; Karl H. Johansson; Pontus Giselsson; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Optimal control; dynamic programming; model predictive control; Electrical Engineering; Elektro- och systemteknik; Optimization and Systems Theory; Optimeringslära och systemteori;

   Sammanfattning : Optimal control theory has a long history and broad applications. Motivated by the goal of obtaining insights through unification and taking advantage of the abundant capability to generate data, this thesis introduces some suboptimal schemes via abstract dynamic programming models. LÄS MER

5. 4. On Structure Exploiting Numerical Algorithms for Model Predictive Control

   Författare :Isak Nielsen; Daniel Axehill; Anders Hansson; Pontus Giselsson; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : One of the most common advanced control strategies used in industry today is Model Predictive Control (MPC), and some reasons for its success are that it can handle multivariable systems and constraints on states and control inputs in a structured way. At each time-step in the MPC control loop the control input is computed by solving a constrained finite-time optimal control (CFTOC) problem on-line. LÄS MER

7. 5. Reinforcement Learning and Optimal Adaptive Control for Structured Dynamical Systems

   Författare :Damianos Tranos; Alexandre Proutiere; Pontus Giselsson; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Reinforcement Learning; Adaptive Control; Dynamical Systems; Control Theory; Control Engineering; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : In this thesis, we study the related problems of reinforcement learning and optimal adaptive control, specialized to specific classes of stochastic and structured dynamical systems. By stochastic, we mean systems that are unknown to the decision maker and evolve according to some probabilistic law. LÄS MER