Sökning: "Riccati recursion"
Hittade 4 avhandlingar innehållade orden Riccati recursion.
1. Structure-Exploiting Numerical Algorithms for Optimal Control
Sammanfattning : Numerical algorithms for efficiently solving optimal control problems are important for commonly used advanced control strategies, such as model predictive control (MPC), but can also be useful for advanced estimation techniques, such as moving horizon estimation (MHE). In MPC, the control input is computed by solving a constrained finite-time optimal control (CFTOC) problem on-line, and in MHE the estimated states are obtained by solving an optimization problem that often can be formulated as a CFTOC problem. LÄS MER
2. Applications of Integer Quadratic Programming in Control and Communication
Sammanfattning : The main topic of this thesis is integer quadratic programming with applications to problems arising in the areas of automatic control and communication. One of the most widespread modern control principles is the discrete-time method Model Predictive Control (MPC). LÄS MER
3. On Structure Exploiting Numerical Algorithms for Model Predictive Control
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
4. Distributed optimization for the optimal control of electric vehicle fleets
Sammanfattning : Owing to their absence of tailpipe emissions and their independence from fossil fuels, Electric Vehicles (EVs) are currently experiencing a rapid deployment in an attempt to curb global greenhouse gas emissions. EV operation represents a technical challenge, however, as new control algorithms need to be developed to address their limited driving range and their longer charging times. LÄS MER