Search for dissertations about: "spatiotemporal constraints"

Showing result 1 - 5 of 7 swedish dissertations containing the words spatiotemporal constraints.

2. 1. Funnel-Based Control for Coupled Spatiotemporal Specifications

   Author : Farhad Mehdifar; Dimos V. Dimarogonas; Charalampos P. Bechlioulis; Bayu Jayawardhana; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Funnel-Based Control; Prescribed Performance Control; Uncertain Nonlinear Systems; Time-Varying Output Constraints; Coupled Spatiotemporal Constraints; Formation Control; Multi-Agent Systems; Trattbaserad kontroll; föreskriven prestandakontroll; osäkra icke-linjära system; tidsvarierande utgångsbegränsningar; kopplade rumsliga begränsningar; formationskontroll; multiagentsystem; Electrical Engineering; Elektro- och systemteknik;

   Abstract : In the past decade, the integration of spatiotemporal constraints into control systems has emerged as a crucial necessity, driven by the demand for enhanced performance, guaranteed safety, and the execution of complex tasks. Spatiotemporal constraints involve criteria that are dependent on both space and time, which can be represented by time-varying constraints in nonlinear control systems. READ MORE

4. 2. The changing role and importance of the built environment for daily travel in Sweden

   Author : Erik Elldér; Göteborgs universitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; built environment; travel; distance; daily; commuting; telework; residential location; Sweden; activities; mobility; spatiotemporal constraints;

   Abstract : Geography, in terms of the built environment and location patterns, was traditionally, and still is, emphasized by many scholars, policymakers, and planners as greatly influencing people’s daily travel behaviour. However, taking recent decades of rapidly increasing mobility capabilities (physical as well as virtual) into account, and the related increase in individual choice opportunities, others argue that the importance of geographic factors has gradually dissolved. READ MORE

5. 3. Transient Control for Leader-follower Multi-agent Systems with Application to Spatiotemporal Logic Tasks

   Author : Fei Chen; Dimos V. Dimarogonas; Jana Tumova; Ming Cao; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; multi-agent systems; leader-follower networks; transient constraints; temporal logics; Electrical Engineering; Elektro- och systemteknik;

   Abstract : Over the past few decades, significant research has been directed towards addressing the problem of distributed control of multi-agent systems. The overall tasks include consensus, formation, flocking, and coverage control with the wide applications in multi-robot coordination, manufacturing and intelligent transportation systems. READ MORE

6. 4. Reinforcement Learning Endowed Robot Planning under Spatiotemporal Logic Specifications

   Author : Peter Varnai; Dimos V. Dimarogonas; Ufuk Topcu; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Formal methods; temporal logic; autonomous systems; reinforcement learning; Electrical Engineering; Elektro- och systemteknik;

   Abstract : Recent advances in artificial intelligence are producing fascinating results in the field of computer science. Motivated by these successes, the desire to transfer and implement learning methods on real-life systems is growing as well. READ MORE

7. 5. Path integral control endowed robot planning under spatiotemporal logic specifications

   Author : Péter Várnai; Dimos Dimarogonas; Theodorou Evangelos; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Abstract : The increasing level of autonomy and intelligence of robotic systems in carrying out complex tasks can be expected to revolutionize both the industry and our everyday lives. This thesis takes a step towards automation by leveraging the power of path integral control (PIC) methods for solving control problems under such task satisfaction constraints in both a stochastic control and a reinforcement learning setting. READ MORE