Andrus Pedai

• Doctor of Philosophy
• Rector at Estonian Entrepreneurship University of Applied Sciences

Paper studies the modeling and control approaches of a tactical unmanned aerial vehicle (TUAV) as a coaxial unmanned helicopter with ducted fan configuration via implementation of three-rate control and neural network techniques to achieve more stabilized flight height control. The single-rate and three-rate control strategies for selected type of...

This paper focuses on a critical component of the situational awareness (SA), the control of autonomous vertical flight for tactical unmanned aerial vehicle (TUAV). With the SA strategy, we proposed a two-rate flight control procedure using two autonomous control subsystems to address the dynamics variation and performance requirement difference in...

This paper focuses on a critical component of the situational awareness (SA), the control of autonomous vertical flight for an unmanned aerial vehicle (UAV). With the SA strategy, we proposed a two stage flight control procedure using two autonomous control subsystems to address the dynamics variation and performance requirement difference in initi...

This paper focuses on a critical component of the situational awareness (SA), the control of autonomous vertical flight for an unmanned aerial vehicle (UAV). With the SA strategy, we proposed a two stage flight control procedure to address the dynamics variation and performance requirement difference in initial and final stages of flight trajectory...

This paper focuses on a critical component of the situational awareness (SA), the control of autonomous vertical flight for an unmanned aerial vehicle (UAV). With the SA strategy, we proposed a two stage flight control procedure using two autonomous control subsystems to address the dynamics variation and performance requirement difference in initi...

This paper focuses on a critical component of the situational awareness (SA), the neural control of depth flight of an autonomous underwater vehicle (AUV). Constant depth flight is a challenging but important task for AUVs to achieve high level of autonomy under adverse conditions. With the SA strategy, we proposed a multirate neural control of an...

This paper focuses on a critical component of the situational awareness (SA), the neural control of depth flight of an autonomous underwater vehicle (AUV). Constant depth flight is a challenging but important task for AUVs to achieve high level of autonomy under adverse conditions. With the SA strategy, we proposed a multirate neural control of an...

This paper focuses on a critical component of the situational awareness (SA), the control of autonomous vertical flight for an unmanned aerial vehicle (UAV). Autonomous vertical flight is a challenging but important task for tactical UAVs to achieve high level of autonomy under adverse conditions. With the SA strategy, we proposed a two stage fligh...

This paper focuses on a critical component of the situational awareness, the control of autonomous vertical flight for an unmanned aerial vehicle. Autonomous vertical flight is a challenging but important task for tactical unmanned aerial vehicles to achieve high level of autonomy under adverse conditions. With the situational awareness strategy, w...

This paper focuses on a critical component of the situational awareness (SA), the neural control of depth flight of an autonomous underwater vehicle (AUV). Constant depth flight is a challenging but important task for AUVs to achieve high level of autonomy under adverse conditions. The fundamental requirement for constant depth flight is the knowle...

This paper focuses on a critical component of the situational awareness (SA), the control of autonomous vertical flight for an unmanned aerial vehicle (UAV). Autonomous vertical flight is a challenging but important task for tactical UAVs to achieve high level of autonomy under adverse conditions. With the SA strategy, we proposed a two stage fligh...

This paper focuses on a critical component of the situational awareness (SA), the control of autonomous vertical flight for an unmanned aerial vehicle (UAV). With the SA strategy, we proposed a two stage flight control procedure using two autonomous control subsystems to address the dynamics variation and performance requirement difference in initi...

This paper focuses on a critical component of the situational awareness (SA), the neural control of depth flight of an autonomous underwater vehicle (AUV). Constant depth flight is a challenging but important task for AUVs to achieve high level of autonomy under adverse conditions. The fundamental requirement for constant depth flight is the knowle...

This paper focuses on a critical component of the situational awareness, the control of autonomous vertical flight for an unmanned aerial vehicle. Autonomous vertical flight is a challenging but important task for tactical unmanned aerial vehicles to achieve high level of autonomy under adverse conditions. With the situational awareness strategy, w...

This paper focuses on a critical component of the situational awareness (SA), the neural control of depth flight of an autonomous underwater vehicle (AUV). Constant depth flight is a challenging but important task for AUVs to achieve high level of autonomy under adverse conditions. The fundamental requirement for constant depth flight is the knowle...

This paper focuses on a critical component of the situational awareness, the neural control of autonomous vertical flight for an unmanned aerial vehicle. Autonomous vertical flight is a challenging but important task for tactical unmanned aerial vehicles to achieve high level of autonomy under adverse conditions. The fundamental requirement for ver...

In modern telecommunications industry, demand & supply chain management needs reliable design and versatile tools to control the material flow. The objective for efficient supply chain management is reducing inventory, lead times and related costs in order to assure reliable and on-time deliveries from manufacturing units towards customers. In this...

This paper focuses on a critical component of the situational awareness, the neural control of autonomous vertical flight for an unmanned aerial vehicle. Application of the proposed two stage flight strategy which uses two autonomous adaptive neural dynamical feedback controllers was carried out for a nontrivial small-scale helicopter model compris...

This paper focuses on a critical component of the situational awareness, the neural network control of autonomous vertical flight for an unmanned aerial vehicle. Application of the proposed two stage flight strategy which uses two autonomous adaptive neural dynamical feedback controllers was carried out for a nontrivial small-scale helicopter model...

This paper describes a two-rate stochastic control system as state-space (SS) type decomposed and discretized models of multi-input/multi-output (MIMO) stochastic subsystems with the "fast" and "slow" control neural networks (NNs) and with the "fast" and "slow" neuro-fuzzy networks (NFNs). The block diagrams both the original system with linear-qua...

The nature of the multirate dynamics of a process makes it very attractive for applications, since the multirate phenomena are complex. This paper presents a research methodology for describing a two-rate stochastic control system as state-space (SS) type decomposed models of multi-input/multi-output (MIMO) stochastic control subsystems with "fast"...

In modern telecommunications industry, demand & supply chain management (DSCM) needs reliable design and versatile tools to control the material flow. The objective for efficient DSCM is reducing inventory, lead times and related costs in order to assure reliable and on-time deliveries from manufacturing units towards customers. In this paper the m...