An important limitation of the existing IGC algorithms, is that they do not explicitly exploit the inherent time scale separation that exist in aerospace vehicles between rotational and translational motions and hence can be ineffective. To address this issue, a two-loop partial integrated guidance and control (PIGC) scheme has been proposed in this paper. In this design, the outer loop uses a recently developed, computationally efficient, optimal control formulation named as model predictive static programming. It gives the commanded pitch and yaw rates whereas necessary roll-rate command is generated from a roll-stabilization loop. The inner loop tracks the outer loop commands using the Dynamic inversion philosophy. Uncommonly, Six-De...
guidance and control based on block backstepping sliding mode and dynamic control allocation Chao Gu...
ABSTRACT: Bird's formation flight is one of the best types of cooperation in nature. The bird's flig...
Using the recently proposed computationally efficient model predictive static programming (MPSP), a ...
An important limitation of the existing IGC algorithms, is that they do not explicitly exploit the i...
To address the concern of classical guidance and control designs (where guidance and control loops a...
The paper proposes a time scale separated partial integrated guidance and control of an interceptor ...
A new partial integrated guidance and control design approach is proposed in this paper, which combi...
Using the recently developed computationally efficient model predictive static programming and a clo...
A partial integrated guidance and control design for an interception with terminal impact angle cons...
A finite-time stable non-linear partial integrated guidance and control algorithm is proposed for fo...
A novel method for the integrated guidance and control of a missile, called Sliding Mode Integrated ...
A new generalized model predictive static programming technique is presented for rapidly solving a c...
In the guidance literature, minimizing miss distance along with optimizing the energy usage had been...
UAVs employed for low altitude jobs are more liable to collide with the urban structures on their wa...
Integrated guidance and control approaches exploit the synergy between the guidance and the control ...
guidance and control based on block backstepping sliding mode and dynamic control allocation Chao Gu...
ABSTRACT: Bird's formation flight is one of the best types of cooperation in nature. The bird's flig...
Using the recently proposed computationally efficient model predictive static programming (MPSP), a ...
An important limitation of the existing IGC algorithms, is that they do not explicitly exploit the i...
To address the concern of classical guidance and control designs (where guidance and control loops a...
The paper proposes a time scale separated partial integrated guidance and control of an interceptor ...
A new partial integrated guidance and control design approach is proposed in this paper, which combi...
Using the recently developed computationally efficient model predictive static programming and a clo...
A partial integrated guidance and control design for an interception with terminal impact angle cons...
A finite-time stable non-linear partial integrated guidance and control algorithm is proposed for fo...
A novel method for the integrated guidance and control of a missile, called Sliding Mode Integrated ...
A new generalized model predictive static programming technique is presented for rapidly solving a c...
In the guidance literature, minimizing miss distance along with optimizing the energy usage had been...
UAVs employed for low altitude jobs are more liable to collide with the urban structures on their wa...
Integrated guidance and control approaches exploit the synergy between the guidance and the control ...
guidance and control based on block backstepping sliding mode and dynamic control allocation Chao Gu...
ABSTRACT: Bird's formation flight is one of the best types of cooperation in nature. The bird's flig...
Using the recently proposed computationally efficient model predictive static programming (MPSP), a ...